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IBM Introduction to Machine Learning

IBM

Machine Learning, Machine Learning Algorithms, Algorithms, Statistical Machine Learning, Human Learning, Probability & Statistics, Applied Machine Learning, Data Analysis, Regression, General Statistics, Python Programming, Feature Engineering, Machine Learning Software, Exploratory Data Analysis, Dimensionality Reduction, Statistical Analysis, Probability Distribution, Statistical Tests, Basic Descriptive Statistics

https://www.coursera.org/specializations/ibm-intro-machine-learning

7,705

Machine learning skills are becoming more and more essential in the modern job market. In 2019, Machine Learning Engineer was ranked as the #1 job in the United States, based on the incredible 344% growth of job openings in the field between 2015 to 2018, and the role’s average base salary of $146,085 (IndeedOpens in a new tab). This four-course Specialization will help you gain the introductory skills to succeed in an in-demand career in machine learning and data science. After completing this program, you’ll be able to realize the potential of machine learning algorithms and artificial intelligence in different business scenarios. You’ll be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You’ll also learn how to evaluate your machine learning models and to incorporate best practices. By the end of this program, you will have developed concrete machine learning skills to apply in your workplace or career search, as well as a portfolio of projects demonstrating your proficiency. In addition to receiving a certificate from Coursera, you'll also earn an IBM BadgeOpens in a new tab to help you share your accomplishments with your network and potential employer. You can also leverage the learning from the program to complete the remaining two courses of the six-course IBM Machine Learning Professional CertificateOpens in a new tab and power a new career in the field of machine learning. Applied Learning Project In this program, you’ll complete hands-on projects designed to develop your analytical and machine learning skills. You’ll also produce a summary of your insights from each project using data analysis skills, in a similar way as you would in a professional setting, including producing a final presentation to communicate insights to fellow machine learning practitioners, stakeholders, C-suite executives, and chief data officers. You are highly encouraged to compile your completed projects into an online portfolio that showcases the skills learned in this Specialization.

1.9K

Intermediate

Specialization

3 - 6 Months

Modern Project Management

SkillUp EdTech

Business Analysis, Communication, Leadership and Management, Project Management, Risk Management

https://www.coursera.org/specializations/skillup-edtech-modern-project-management

195,766

We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with models consistently outperform those who don't. And, moreover people who think with lots of models outperform people who use only one. Why do models make us better thinkers? Models help us to better organize information - to make sense of that fire hose or hairball of data (choose your metaphor) available on the Internet. Models improve our abilities to make accurate forecasts. They help us make better decisions and adopt more effective strategies. They even can improve our ability to design institutions and procedures. In this class, I present a starter kit of models: I start with models of tipping points. I move on to cover models explain the wisdom of crowds, models that show why some countries are rich and some are poor, and models that help unpack the strategic decisions of firm and politicians. The models covered in this class provide a foundation for future social science classes, whether they be in economics, political science, business, or sociology. Mastering this material will give you a huge leg up in advanced courses. They also help you in life. Here's how the course will work. For each model, I present a short, easily digestible overview lecture. Then, I'll dig deeper. I'll go into the technical details of the model. Those technical lectures won't require calculus but be prepared for some algebra. For all the lectures, I'll offer some questions and we'll have quizzes and even a final exam. If you decide to do the deep dive, and take all the quizzes and the exam, you'll receive a Course Certificate. If you just decide to follow along for the introductory lectures to gain some exposure that's fine too. It's all free. And it's all here to help make you a better thinker!

140

Beginner

Specialization

3 - 6 Months

Preparing for Google Cloud Certification: Machine Learning Engineer

Google Cloud

Machine Learning, Google Cloud Platform, Applied Machine Learning, Cloud Computing, Human Learning, Machine Learning Software, Cloud Platforms, Machine Learning Algorithms, Tensorflow, Deep Learning, Feature Engineering, Artificial Neural Networks, Training, DevOps, Exploratory Data Analysis, Python Programming, Cloud-Based Integration, Data Analysis, Data Visualization, Big Data, Probability & Statistics, Regression, Statistical Programming, Statistical Visualization, Algorithms, Continuous Integration, SQL, Cloud API, Apache, Extract, Transform, Load, Docker (Software)

https://www.coursera.org/professional-certificates/preparing-for-google-cloud-machine-learning-engineer-professional-certificate

36,932

87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Machine Learning EngineerOpens in a new tab certification. Here's what you have to do 1) Complete the Preparing for Google Cloud Machine Learning Engineer Professional Certificate 2) Review other recommended resources for the Google Cloud Professional Machine Learning Engineer Opens in a new tabexam 3) Review the Professional Machine Learning Engineer exam guideOpens in a new tab 4) Complete Professional Machine Learning EngineerOpens in a new tab sample questions 5) RegisterOpens in a new tab for the Google Cloud certification exam (remotely or at a test center) Applied Learning Project This professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules. Applied Learning Project This specialization incorporates hands-on labs using Google's Qwiklabs platform. These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

26K

Intermediate

Professional Certificate

3 - 6 Months

Architecting with Google Compute Engine

Google Cloud

Cloud Applications, Cloud Computing, Google Cloud Platform, Cloud Infrastructure, Cloud Platforms, Cloud Management, Other Cloud Platforms and Tools, Cloud Engineering, Cloud Storage, Cloud-Based Integration, Computer Networking, DevOps, Google App Engine, Network Architecture, Computer Programming, Kubernetes, Leadership and Management

https://www.coursera.org/specializations/gcp-architecture

4,621

If you want to enter the exciting world of software development, this Software Engineering Foundations Specialization is for you. No prior degrees or knowledge of programming or application development are necessary. Software Developers are in great demand earning a median salary of US$110,140 per year according to the US Bureau of Labor and Statistics. The field is growing at a rate of 22% making it a great time to start a career in software engineering.. The self-paced courses in this program provide the foundations to prepare for a wide range of IT & software development related careers, including web development, mobile application development, front-end, back-end, and full stack application development, software testing & quality assurance (QA), as well as DevOps engineering. This specialization is full of engaging videos, hands-on labs, and real-world projects that explore fundamental programming principles and foundations of design, architecture, and deployment; the software development lifecycle; Git and GitHub repositories; using the Linux terminal and creating Bash shell scripts to automate a variety of tasks; and coding with the Python programming language. The program is suitable for those new to software engineering or for those who would like a review of software engineering fundamentals. It prepares you with an introduction to the culture, technology, and job-ready skills needed to become successful in software engineering.    Applied Learning Project Each course is packed with hands-on labs, interactive activities, and projects so you can build your portfolio while gaining practical knowledge of software engineering concepts. You will develop software engineering skills throughout the program. Projects involve:. Exploring job listings to become familiar with skills and requirements in the Software Engineering domain.  Using Git commands and GitHub to create an open source project while working with branches, merging code, and performing pull requests (PRs). Writing a Bash shell script on Linux that takes backups of changed files and schedules it to run every 24 hours using Crontab.  Coding with Python using lists, tuples, dictionaries, sets, conditions, branching, loops, functions, exception handling, objects, and classes, web services & APIs, and libraries like NumPy & Pandas.   Developing a Python web app that uses IBM Watson to translate languages, including writing unit tests and packaging the app for distribution.

57K

Intermediate

Specialization

3 - 6 Months

SAP Technology Consultant

SAP

Leadership and Management, Strategy and Operations, Cloud-Based Integration, Business Analysis, Business Transformation, Business Process Management, Cloud Applications, Strategy, Customer Analysis, Planning, Project Management, Business Intelligence, Software As A Service, Supply Chain and Logistics, Cloud Standards, Cloud Computing, Network Architecture, Software Architecture, System Software, Communication

https://www.coursera.org/professional-certificates/sap-technology-consultant

27,742

Launch your career in the high-demand field of SAP consulting. Build the consulting skills successful companies are looking for through tailored training and hands-on projects designed by SAP. No experience or degree required to enroll. What does an SAP consultant do? SAP consultants are problem solvers who relish getting the details right. They are experts in process management and have a deep understanding of SAP solutions. They are also outstanding communicators and excel at collaborating with all contributors and stakeholders in a project. This program has been designed specifically for learners seeking to get their first job in the SAP domain. You’ll get the inside track on how to build a consulting career beyond just having product knowledge. You’ll learn about project management methodologies and agile processes. You’ll gain core consulting skills such as requirements gathering, stakeholder interviewing, client communication, client analysis, and solution design. Plus, you’ll go through several implementation project lifecycles to build your practical experience and complete a comprehensive hands-on project using a case study to apply the skills you have learned. With SAP customers generating 87% of total global commerce, SAP consulting skills are in high demand. Through this program, you’ll build the critical skills that the largest and highly successful companies such as Accenture, Capgemini, Deloitte and KPMG, are looking for.  Applied Learning Project Each course contains a client-related project that enables you to develop your skills in context. As the courses progress, the projects give you the opportunity to deepen your consulting skills as you learn. In addition to each end-of-course project, however, you’ll conduct a comprehensive hands-on project that takes you through the full SAP implementation lifecycle from start to finish. This will include carrying out the appropriate customer analysis and gap analysis, identifying business requirements, designing a solution, implementing your proposed solution, and completing QA and testing activities. Plus, you’ll build your own SAP career development plan in readiness for when you’ve successfully earned your professional certificate. Once you’ve completed the program, you will have a variety of simulated project implementations that you can refer to in interviews to evidence your hands-on experience.

558

Beginner

Professional Certificate

3 - 6 Months

JavaScript Programming with React, Node & MongoDB

IBM

Javascript, Computer Programming, Web Development, Computer Science, Front-End Web Development, NoSQL, React (web framework)

533

Beginner

Specialization

3 - 6 Months

Digital Product Management

University of Virginia

Agile Software Development, Product Management, Leadership and Management, Design and Product, Software Engineering, Product Development, Project Management, User Experience, Customer Analysis, Product Design, User Research, Data Analysis, Communication, Continuous Delivery, People Analysis, Planning, Product Strategy, Strategy

https://www.coursera.org/specializations/uva-darden-digital-product-management

33,032

Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CAOpens in a new tab Applied Learning Project Learners will create a roadmap to achieve their own personal goals related to the digital manufacturing and design (DM&D) profession, which will help them leverage relevant opportunities. The culminating project provides a tangible element to include in their professional portfolios that showcases their knowledge of Industry 4.0.

9.1K

Beginner

Specialization

3 - 6 Months

Graphic Design

California Institute of the Arts

Graphic Design, Visual Design, Communication, Computer Graphic Techniques, Computer Graphics, Creativity, Graph Theory, Visualization (Computer Graphics), Geometry, Interactive Design

https://www.coursera.org/specializations/graphic-design

빠르게 성장 중인 데이터 애널리틱스 분야에서 새로운 커리어를 준비하세요. 관련 경력이나 학위는 필요하지 않습니다. Google이 설계한 전문 교육을 받고, 일류 기업에 지원할 수 있는 기회도 얻을 수 있습니다. 데이터 애널리틱스는 결론을 예측 및 도출하고 정보에 기반한 의사결정을 내리기 위해 데이터를 수집, 변환, 구성하는 작업입니다. 8개의 강좌를 통해 업계에서 사용되는  주요 스킬을 학습하고 엔트리 레벨 직무에 대비해보세요. 데이터 애널리틱스를 기반으로 커리어를 쌓은 Google 직원이 직접 강의합니다. 일주일당 최대 10시간 학습 시 6개월 이내에 수료증을 이수할 수 있습니다. 주니어 또는 어소시에이트 데이터 애널리스트, 데이터베이스 관리자 등을 포함한 직무에 대비해보세요. 미국에서 Google 수료증 과정을 이수한 수강생의 75%가 완료 후 6개월 이내에 커리어가 개선되었다고 응답했습니다* 여기Opens in a new tab에서 모든 Google Career 수료증 과정을 확인해보세요. ¹Burning Glass: Labor Insight(지난 12개월: 2020년 2월 1일~2021년 1월 31일) *2021년 미국, 수료증 과정 이수 설문조사 응답에 기반함 Applied Learning Project 이 수료증 과정은 180시간 이상의 강의와 수백 개의 실습 기반 평가를 포함하고 있습니다. 평가에는 실제 데이터 애널리틱스 업무 시나리오가 사용되므로 수강생은 업무를 성공적으로 수행하는 데 도움이 되는 실제 시나리오를 시뮬레이션해볼 수 있습니다. 본 콘텐츠는 데이터 애널리틱스 분야에서 수십 년간 경력을 쌓은 Google 직원들이 수준 높은 대화형 구성으로 독점 개발했습니다. 동영상, 평가, 실습 활동 단계에 따라 분석 도구 및 플랫폼과 엔트리 레벨 직무에 필요한 핵심 분석 스킬을 배울 수 있습니다. 배우게 될 스킬: 데이터 정리, 문제 해결, 비판적 사고, 데이터 윤리, 데이터 시각화 배울 도구 및 플랫폼: 프레젠테이션, 스프레드시트, SQL, Tableau, R 프로그래밍 전문 교육 및 실습 프로젝트 외에도 채용에 관심이 있는 기업에 새롭게 학습한 스킬을 선보일 수 있는 사례 연구 활동을 실시하게 됩니다. 현재 일류 기업에서 실제로 요구하는 스킬을 배워보세요.

20K

Beginner

Specialization

3 - 6 Months

Python for Data Science, AI & Development

IBM

Python Programming, Computer Programming, Data Analysis

https://www.coursera.org/learn/python-for-applied-data-science-ai

671,781

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.

34K

Beginner

Course

1 - 3 Months

AWS Cloud Solutions Architect

Amazon Web Services

Amazon Web Services, Cloud Computing, Cloud Storage, Data Management, Big Data, Cloud Applications, Cloud Engineering, Cloud Platforms, Data Analysis, Data Warehousing, Extract, Transform, Load, Cloud Management, Data Architecture, Cloud Infrastructure, Data Visualization, Database Design, Other Cloud Platforms and Tools, Software Architecture, Leadership and Management, Machine Learning

https://www.coursera.org/professional-certificates/aws-cloud-solutions-architect

35,988

This professional certificate provides the knowledge and skills you need to start building your career in cloud architecture and helps you prepare for the AWS Certified Solutions Architect - Associate exam. You will start by learning key AWS Services for compute, storage, database, networking, monitoring, and security, then dive into how to design architectural solutions, how to create and operate a data lake, and how to prepare for the certification exam. The AWS Certified Solutions Architect – Associate certification showcases knowledge and skills in AWS technology across a wide range of AWS services. The certification focuses on the design of cost and performance optimized solutions and demonstrating a strong understanding of the AWS Well-Architected Framework. This AWS Certification is one of the top-paying IT certifications, per the SkillSoft IT Skills and Salary reportOpens in a new tab. Per Enterprise Strategy GroupOpens in a new tab, surveyed AWS Certification holders credited their certification for their higher earnings (74%), increased confidence (87%), and increased influence among coworkers (79%). To prepare for your AWS Certification exam, we recommend that — in addition to attaining this professional certificate — candidates review the free exam guide, sample questions, and AWS technical documentation (e.g. white papers and product FAQs) on the AWS Certified Solutions Architect - Associate exam pageOpens in a new tab to understand what content and services are covered by the exam. Applied Learning Project Through 15 hands-on labs, you’ll use the AWS Management Console to apply skills learned in the videos. For example:  In Architecting Solutions on AWS, you’ll use Amazon API Gateway, AWS Lambda, Amazon SQS, Amazon DynamoDB, and Amazon SNS to build a serverless web backend. In Introduction to Designing Data Lakes, you’ll use Amazon S3, Amazon OpenSearch Service, AWS Lambda and Amazon API Gateway to create an Amazon OpenSearch Service Cluster. You’ll also use Amazon S3, Amazon EC2, Amazon Kinesis Data Firehose, Amazon Kinesis Data Analytics, Amazon Elasticsearch Service to create a data ingestion pipeline with the use of high-scale AWS Managed services.  In Cloud Technical Essentials, you’ll design a 3-tier architecture using services like Amazon VPC, Amazon EC2, Amazon RDS with high availability and Elastic Load Balancing following AWS best practices. You’ll upload an architecture diagram laying out your design including the networking layer.

4.8K

Intermediate

Professional Certificate

3 - 6 Months

Preparing for Google Cloud Certification: Cloud Security Engineer

Google Cloud

Cloud Computing, Google Cloud Platform, Cloud Platforms, Cloud Engineering, Cloud Infrastructure, Network Security, Computer Networking, Computer Security Models, Cloud Applications, Cloud Management, Cloud Storage, Network Architecture, Software Security, System Security, Other Cloud Platforms and Tools, Security Engineering, Security Strategy, Google App Engine, Network Model, Computer Security Incident Management, DevOps, Software-Defined Networking, Security Software, Kubernetes, Leadership and Management

https://www.coursera.org/professional-certificates/google-cloud-security

7,998

87% of Google Cloud certified users feel more confident in their cloud skills*. This program provides the skills you need to advance your career as a security engineer and provides training to support your preparation for the industry-recognized Google Cloud Professional Cloud Security EngineerOpens in a new tab certification. You'll also have the opportunity to configure access, configure network security, and ensure data protection among other things. Your journey to Google Cloud certification: 1) Complete the Coursera Google Cloud Security Professional Certificate. 2) Review other recommended learning resources for the Google Cloud Professional Cloud Security EngineerOpens in a new tab Opens in a new tab exam. 3) Review the Google Cloud Professional Security Engineer exam guide.Opens in a new tab 4) Review the Professional Cloud Security Engineer sample questionsOpens in a new tab. 5) RegisterOpens in a new tab for the Google Cloud certification exam. (The exam can be taken remotely or at a test center) --------------------------------------------------------------- * Percentages indicate those who strongly or somewhat agree with the statement. Findings from a survey conducted with Google Cloud certified individuals in May 2019 by an independent third-party research organization. Applied Learning Project Learners will create, update, delete, and undelete custom IAM roles - as they would do to provide access components within Google Cloud. They will enable internal IP addresses to be used between two VPC networks using network peering. Learners will create and configure a private cluster for Kubernetes in Google Cloud. The virtual machines on which the Kubernetes nodes run will not be externally accessible. They will use network policies to apply finely-grained restrictions to limit intra-cluster communication. Finally, they will provision two service accounts for two user personas and namespaces for dev, test, prod (i.e., development, test, and production). Learners will also assign API permissions to a cluster application and do some basic troubleshooting.

49K

Intermediate

Professional Certificate

3 - 6 Months

AWS Cloud Technology Consultant

Amazon Web Services

Amazon Web Services, Cloud API, Cloud Computing, Cloud Infrastructure, Cloud Storage, Continuous Integration, Customer Support, Data Analysis, Data Architecture, DevOps, Information Technology, Leadership and Management, Project Management, Python Programming, Software Architecture, Software Testing, Strategy, Web Development

https://www.coursera.org/professional-certificates/aws-cloud-technology-consultant

3,034

Prepare for a new career in the fast growing field of cloud consulting. Get professional training designed by AWS and learn how to design and build on AWS from experienced instructors. You’ll also have the chance to unlock career opportunities by connecting with top employers.  Through this nine-course program, you’ll gain in-demand skills that prepare you for an entry-level job in the field. You’ll learn from AWS experts how to understand business goals and drivers, translate those into an appropriate AWS technical solution and provide technical direction and oversight to cloud implementation teams. After completing this hands-on program you’ll have the foundational and technical context to understand how to build solutions and solve technical problems and how to choose the right AWS solution. You’ll master both the soft skills to become successful cloud consultants and the technical knowledge to go deep into how software gets built, tested and deployed.  You’ll also be able to work on a capstone project centered on the Well Architected Framework that you can later share in interviews to demonstrate your job-readiness to potential employers.  You can also gain access to the AWS Educate Job Board, where you can explore, search for, and apply to in-demand jobs and internships with leading organizations.  Applied Learning Project Through 18 hands-on labs, you’ll use the AWS Management Console to apply skills learned in the videos and readings. Here are a few examples of the activities you’ll perform in this Professional Certificate: In Introduction to Information Technology and AWS Cloud, you’ll create a static website with S3 in the easiest way. This lab will introduce you to the AWS Management Console, help you understand the AWS Cloud, and practice hosting a static website on AWS. In AWS Cloud Technical Essentials, you’ll use AWS Identity and Access Management (IAM) to manage your AWS services’ access and permissions. You’ll practice the steps to add users to groups, manage passwords, log in as users with various permissions, and view the effects of IAM policies. In Automation in the AWS Cloud, you’ll work with AWS CLI, write a bash script to perform a task/write user data script to download code and run it on EC2 and build a run command to uninstall Apache and install nginx.

4.6K

Beginner

Professional Certificate

3 - 6 Months

Preparing for Google Cloud Certification: Cloud Data Engineer

Google Cloud

Cloud Computing, Google Cloud Platform, Cloud Platforms, Big Data, Data Management, Data Analysis, Data Analysis Software, Databases, Computer Networking, Applied Machine Learning, Data Warehousing, Machine Learning, SQL, Communication, Cloud Storage, Data Architecture, Human Learning, Machine Learning Algorithms, Machine Learning Software, Algorithms, Cloud Applications, Cloud Infrastructure, Distributed Computing Architecture, Business Analysis, Leadership and Management, Problem Solving, Apache, Python Programming, Warehouse Management, Feature Engineering, Statistical Programming, Tensorflow

https://www.coursera.org/professional-certificates/gcp-data-engineering

81,451

Google Cloud Professional Data Engineer certification was ranked #1 on Global Knowledge's list of 15 top-paying certifications in 2021Opens in a new tab! Enroll now to prepare! --- 87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data EngineerOpens in a new tab certification. Here's what you have to do 1) Complete the Coursera Data Engineering Professional Certificate 2) Review other recommended resources for the Google Cloud Professional Data Engineer certificationOpens in a new tab exam 3) Review the Professional Data Engineer exam guideOpens in a new tab 4) Complete Professional Data EngineerOpens in a new tab sample questions 5) RegisterOpens in a new tab for the Google Cloud certification exam (remotely or at a test center) Applied Learning Project This professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules. Applied Learning Project This Professional Certificate incorporates hands-on labs using our Qwiklabs platform. These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

18K

Intermediate

Professional Certificate

3 - 6 Months

Data Analysis and Presentation Skills: the PwC Approach

PwC

Data Analysis, Business Analysis, Data Management, Data Visualization, Microsoft Excel, Data Analysis Software, Spreadsheet Software, Problem Solving, Statistical Analysis, Interactive Data Visualization, Data Structures, Statistical Visualization, Extract, Transform, Load, Data Model, Data Visualization Software, General Statistics, Big Data, Critical Thinking, Professional Development, Visualization (Computer Graphics), Decision Making, Communication, Business Communication, Storytelling, Customer Analysis, Forecasting, Visual Design, Planning

https://www.coursera.org/specializations/pwc-analytics

118,882

This course gives you the background needed to understand basic Cybersecurity around people. process and technology. You will learn: ● Understand the key cybersecurity roles within an Organization. ● List key cybersecurity processes and an example of each process. ● Describe the architecture, file systems, and basic commands for multiple operating systems including Windows, Mac/OS, Linux and Mobile. ● Understand the concept of Virtualization as it relates to cybersecurity Finally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era. This course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the second course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst. The completion of this course also makes you eligible to earn the Cybersecurity Roles, Processes & Operating System Security IBM digital badge. More information about the badge can be found here: https://www.youracclaim.com/org/ibm/badge/cybersecurity-roles-processes-operating-system-security

11K

Beginner

Specialization

3 - 6 Months

AWS Fundamentals

Amazon Web Services

Amazon Web Services, Cloud Computing, Cloud Infrastructure, Cloud Management, Cloud Applications, Cloud Platforms, Cloud Engineering, Cloud Storage, Network Security, Cloud API, Cloud-Based Integration, Computer Security Models, Security Engineering, Security Software, Security Strategy, System Security, Software Security, Distributed Computing Architecture, Other Cloud Platforms and Tools, Data Management, Database Application, Database Design, Databases, Software Architecture, Data Architecture, Continuous Delivery, Data Visualization, Leadership and Management, Data Analysis

https://www.coursera.org/specializations/aws-fundamentals

18,282

This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors. Applied Learning Project This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.

4.7K

Beginner

Specialization

1 - 3 Months

Learn SQL Basics for Data Science

University of California, Davis

Databases, SQL, Data Management, Data Analysis, Big Data, Data Model, Exploratory Data Analysis, Database Administration, Problem Solving, Database Design, Business Analysis, Database Application, Extract, Transform, Load, Critical Thinking, Apache, Data Architecture, Customer Analysis, Distributed Computing Architecture, Data Science

https://www.coursera.org/specializations/learn-sql-basics-data-science

226,926

This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, Delta Lake and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.

17K

Beginner

Specialization

3 - 6 Months

Leadership Skills

IIMA - IIM Ahmedabad

Communication, Leadership and Management, People Management

https://www.coursera.org/learn/leadershipskills

16,737

In this Specialization, we will cover 3 key technologies that are foundational and driving significant growth and innovation. These are Cloud Computing, Data Science, and Artificial Intelligence (AI). Technology is essential for the future of business. Almost any organization that wants to modernize or get ahead, and anyone working there, needs to understand and leverage these essential technologies. The courses in this Specialization provide foundational knowledge of Cloud, Data and AI, including business drivers behind their growth, the value they provide, their applications and use cases, and an understanding of how these technologies work. You will not only become familiar with the buzzwords associated with these technologies, but also experience them in action and develop hands-on skills to start working with them. This Specialization is suitable for a variety of learners who are beginners with these technologies, including managers and executives, professionals who want to upskill, and students getting ready to start a career. There is no special prior knowledge or hardware required. The only pre-requisites are basic computer literacy, device with a modern web browser with internet connectivity, and motivation to self-learn online. Applied Learning Project Each course includes hands-on assignments and interactions that demonstrate specific technologies in action. For example, you will utilize Computer Vision to demonstrate the power of AI. Similarly, you will provision an instance of Cloud Object Storage, and use it to share files. These practical exercises are suitable for even those without any specialized IT skills or programming knowledge.

958

Beginner

Course

1 - 3 Months

Introduction to Generative AI

Google Cloud

Artificial Neural Networks, Deep Learning, Machine Learning

https://www.coursera.org/learn/introduction-to-generative-ai

249,037

Welcome to Introduction to Front-End Development, the first course in the Meta Front-End Developer program. This course is a good place to start if you want to become a web developer. You will learn about the day-to-day responsibilities of a web developer and get a general understanding of the core and underlying technologies that power the internet. You will learn how front-end developers create websites and applications that work well and are easy to maintain. You’ll be introduced to the core web development technologies like HTML and CSS and get opportunities to practice using them. You will also be introduced to modern UI frameworks such as Bootstrap and React that make it easy to create interactive user experiences. By the end of the course, you will be able to: - Describe the front-end developer role - Explain the core and underlying technologies that power the internet - Use HTML to create a simple webpage - Use CSS to control the appearance of a simple webpage - Explain what React is - Describe the applications and characteristics of the most popular UI frameworks For the final project in this course, you will create and edit a webpage using HTML and the Bootstrap CSS framework. Using a responsive layout grid, you will construct a responsive webpage containing text and images that looks great on any size screen. This is a beginner course intended for learners eager to learn the fundamentals of web development. To succeed in this course, you do not need prior web development experience, only basic internet navigation skills and an eagerness to get started with coding.

2.5K

Beginner

Course

1 - 4 Weeks

Tools of the Trade: Linux and SQL

Google

Linux, Databases, SQL

https://www.coursera.org/learn/linux-and-sql

83,945

This is the fourth course in the Google Cybersecurity Certificate. These courses will equip you with the skills you need to apply for an entry-level cybersecurity job. You’ll build on your understanding of the topics that were introduced in the third Google Cybersecurity Certificate course. In this course, you will explore computing skills that you’ll use on-the-job as a cybersecurity analyst. First, you'll practice using Linux, an operating system commonly used by cybersecurity professionals. For example, you'll use the Linux command line through the Bash shell to navigate and manage the file system and authenticate users. Then, you'll use SQL to communicate with a database. Google employees who currently work in cybersecurity will guide you through videos, provide hands-on activities and examples that simulate common cybersecurity tasks, and help you build your skills to prepare for jobs. Learners who complete this certificate will be equipped to apply for entry-level cybersecurity roles. No previous experience is necessary. By the end of this course, you will: - Explain the relationship between operating systems, applications, and hardware. - Compare a graphical user interface to a command line interface. - Identify the unique features of common Linux distributions. - Navigate and manage the file system using Linux commands via the Bash shell. - Use Linux commands via the Bash shell to authenticate and authorize users. - Describe how a relational database is organized. - Use SQL to retrieve information from a database. - Apply filters to SQL queries and use joins to combine multiple tables.

2K

Beginner

Course

1 - 4 Weeks

Data Engineering, Big Data, and Machine Learning on GCP

Google Cloud

Google Cloud Platform, Cloud Computing, Cloud Platforms, Big Data, Data Analysis, Data Management, Applied Machine Learning, Data Warehousing, Machine Learning, SQL, Cloud Storage, Data Architecture, Human Learning, Machine Learning Algorithms, Machine Learning Software, Algorithms, Cloud Applications, Cloud Infrastructure, Distributed Computing Architecture, Apache, Python Programming, Warehouse Management, Feature Engineering, Statistical Programming, Tensorflow

https://www.coursera.org/specializations/gcp-data-machine-learning

450,552

This course is the seventh course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R. This course will also cover the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: - Examine the benefits of using the R programming language. - Discover how to use RStudio to apply R to your analysis. - Explore the fundamental concepts associated with programming in R. - Explore the contents and components of R packages including the Tidyverse package. - Gain an understanding of dataframes and their use in R. - Discover the options for generating visualizations in R. - Learn about R Markdown for documenting R programming.

18K

Intermediate

Specialization

3 - 6 Months

Construction Management

Columbia University

Project Management, Leadership and Management, Strategy and Operations, Planning, Estimation, Operations Management, Budget Management, Accounting, Decision Making, Finance, Cost Accounting, Critical Thinking, Financial Accounting, Performance Management, Strategy, Financial Analysis, Investment Management, Financial Management, Process Analysis, Risk Management, Computational Thinking, Computational Logic, Statistical Visualization, Collaboration, Innovation, Change Management, Business Transformation, Supply Chain and Logistics, Feature Engineering, Entrepreneurship

https://www.coursera.org/specializations/construction-management

26,711

Master the fundamentals of conflict resolution, harness the power of positive conflict, and hone your intercultural communication skills. In this Specialization, you’ll learn to strengthen your personal and professional relationships by constructively addressing conflicts between individuals and within organizations. You’ll build skills specifically aimed at managing intercultural conflicts in today’s global society, and you’ll explore how competing interests and goals, power imbalances, and other factors influence the nature of conflict and management strategies. In the final Capstone Project, you’ll analyze a specific conflict and outline an approach to management and resolution.

8.1K

Beginner

Specialization

3 - 6 Months

Cybersécurité Google

Google

Linux, SQL

https://www.coursera.org/professional-certificates/cybersecurite-google

2,134

In this specialization, you will learn how to define Cybersecurity risk and discuss the threats that create it while you also learn to describe the role of Cybersecurity management in the management of Cybersecurity risk. You will go on to understand the elements of a general risk management framework as well as how to develop and administer a risk management effort. Along the way you will learn about the dominant standards and frameworks in risk management, and the tools used to support them. Applied Learning Project Given a case study of a sample organization, learner will specify a risk management framework to manage cybersecurity risk. They will describe the resources needed to support this RMF and perform the initial steps of a risk management effort by identifying, classifying and prioritizing organizational assets and the threats to those assets.  

67

Beginner

Professional Certificate

3 - 6 Months

Ciberseguridad de Google

Google

Computer Programming, Databases, Linux, Python Programming, SQL

https://www.coursera.org/professional-certificates/ciberseguridad-de-google

68,816

This course covers chemicals in our environment and in our bodies and how they impact our health. It addresses policies and practices related to chemicals, particularly related to how they get into our bodies (exposures), what they do when they get there (toxicology), how we measure them (biomonitoring) and their impact on our health. Most examples are drawn from the US.

1.5K

Beginner

Professional Certificate

3 - 6 Months

Preparing for Google Cloud Certification: Cloud Developer

Google Cloud

Cloud Applications, Cloud Computing, Google Cloud Platform, Cloud Infrastructure, Cloud Platforms, Cloud API, Cloud Engineering, Other Cloud Platforms and Tools, Cloud Management, Cloud Storage, Cloud Load Balancing, DevOps, Application Development, Google App Engine, Software Architecture, Computer Architecture, Docker (Software), Machine Learning Software, Kubernetes

https://www.coursera.org/professional-certificates/google-cloud-developer

6,709

A Cloud Developer designs, builds, analyzes, and maintains cloud-native applications. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Cloud Developer role. Once you complete the path, check out the Google Cloud Developer certification to take the next steps on your professional journey. Applied Learning Project This specialization incorporates hands-on labs using our Qwiklabs platform. These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

51K

Intermediate

Professional Certificate

3 - 6 Months

Project Planning: Putting It All Together

Google

Project Management, Strategy and Operations, Leadership and Management, Entrepreneurship, Finance, Planning, Supply Chain and Logistics, Budget Management, Communication, Risk Management, Procurement

https://www.coursera.org/learn/project-planning-google

347,717

This is the third course in the Google Project Management Certificate program. This course will explore how to map out a project in the second phase of the project life cycle: the project planning phase. You will examine the key components of a project plan, how to make accurate time estimates, and how to set milestones. Next, you will learn how to build and manage a budget and how the procurement processes work. Then, you will discover tools that can help you identify and manage different types of risk and how to use a risk management plan to communicate and resolve risks. Finally, you will explore how to draft and manage a communication plan and how to organize project documentation. Current Google project managers will continue to instruct and provide you with hands-on approaches for accomplishing these tasks while showing you the best project management tools and resources for the job at hand. Learners who complete this program should be equipped to apply for introductory-level jobs as project managers. No previous experience is necessary. By the end of this course, you will be able to: - Describe the components of the project planning phase and their significance. - Explain why milestones are important and how to set them. - Make accurate time estimates and describe techniques for acquiring them from team members. - Identify tools and best practices to build a project plan and risk management plan. - Describe how to estimate, track, and maintain a budget. - Explain the procurement process and identify key procurement documentation. - Draft a communication plan and explain how to manage it. - Explain why milestones are important and how to set them. - Explain why a project plan is necessary and what components it contains. - Make accurate time estimates and describe techniques for acquiring them from team members.

11K

Beginner

Course

1 - 3 Months

Search Engine Optimization (SEO)

University of California, Davis

Marketing, Search Engine Optimization, Digital Marketing, Strategy, Social Media, User Experience, Customer Analysis, Media Strategy & Planning, User Research, Web Development, Market Analysis, Data Analysis, Market Research, Marketing Management, Marketing Psychology, User Experience Design, Web Development Tools, Algorithms, Brand Management, Communication, Critical Thinking, Influencing, Audit, Customer Relationship Management

https://www.coursera.org/specializations/seo

161,706

This Specialization will teach you to optimize website content for the best possible search engine ranking. You'll learn the theory behind Google search and other search engine algorithms; you'll also build practical, real-world skills that you can apply to a career in digital marketing or online content development, including on-page and off-page optimization, optimizing for local and international audiences, conducting search-focused website audits, and aligning SEO with overall business strategies. Each course is intended to build on the skills from the previous course, thus we recommend you take the courses in the order they are listed. The Specialization culminates in a hands-on Capstone Project, in which you will apply your skills to a comprehensive SEO consulting task.

12K

Beginner

Specialization

3 - 6 Months

Data Structures and Algorithms

University of California San Diego

Algorithms, Theoretical Computer Science, Computer Programming, Data Structures, Problem Solving, Mathematics, Computational Thinking, Computer Programming Tools, Computational Logic, Critical Thinking, Graph Theory, Programming Principles, Mathematical Theory & Analysis, C++ Programming, Algebra, Software Testing

https://www.coursera.org/specializations/data-structures-algorithms

13,769

This specialization is intended for data analysts looking to expand their toolbox for working with data. Traditionally, data analysts have used tools like relational databases, CSV files, and SQL programming, among others, to perform their daily workflows. In this specialization, you will leverage existing skills to learn new ones that will allow you to utilize advanced technologies not traditionally linked to this role - technologies like Databricks and Apache Spark. By the end of this specialization, you'll be able to solve real-world business problems with Databricks and the most popular machine learning techniques. Applied Learning Project In this specialization, you'll complete a series of hands-on lab assignments and projects. The lab assignments will allow you to test-drive Databricks and Apache Spark to streamline today's most popular data science workflows. You will also apply the latest data science strategies to complete and assess your very own data science project.

16K

Intermediate

Specialization

3 - 6 Months

Preparing for Google Cloud Certification: Cloud Network Engineer

Google Cloud

Cloud Computing, Google Cloud Platform, Cloud Platforms, Cloud Engineering, Cloud Infrastructure, Computer Networking, Cloud Applications, Other Cloud Platforms and Tools, Cloud Management, Cloud Storage, Network Architecture, Network Model, Network Security, DevOps, Software-Defined Networking, Google App Engine, Kubernetes, Leadership and Management

https://www.coursera.org/professional-certificates/google-cloud-networking

13,907

87% of Google Cloud certified users feel more confident in their cloud skills*. This program provides the skills you need to advance your career as a network engineer and provides training to support your preparation for the industry-recognized Google Cloud Professional Network Engineer Opens in a new tabcertification. You'll also have the opportunity to practice key job skills using Google Cloud to build networks, implement VPCs, configure network services, and implement hybrid interconnectivity among other things. Your journey to Google Cloud certification - 1) Complete the Coursera Google Cloud Networking Professional Certificate 2) Review other recommended learning resources for the Google Cloud Professional Network Engineer Opens in a new tab exam 3) Review the Google Cloud Professional Network Engineer exam guide.Opens in a new tab 4) Review the Professional Cloud Network Engineer sample questionsOpens in a new tab 5) RegisterOpens in a new tab for the Google Cloud certification exam (Can be taken remotely or at a test center) --------------------------------------------------------------- * Percentages indicate those who strongly or somewhat agree with the statement. Findings from a survey conducted with Google Cloud certified individuals in May 2019 by an independent third-party research organization. Applied Learning Project Learners will work with VPC networks that span multiple zones and multiple regions. They will use open source tools to gather network information, including latency, connectivity, and traffic. They will use this information to determine where network performance can be improved. They will build a minimal web application with Google App Engine and then explore various ways to use Identity-Aware Proxy (IAP) to restrict application access and provide user identity information to it. They create different types of load balancers and see how they can improve network performance. Finally, they will build and test a high-throughput VPN, between a simulated VPC and on-premises network environment. This will include building VPN gateways and a tunnel between the two networks.

48K

Intermediate

Professional Certificate

3 - 6 Months

Attract and Engage Customers with Digital Marketing

Google

Digital Marketing, Marketing, Search Engine Optimization, Marketing Management, Advertising, Media Strategy & Planning, Persona Research, Web Design, Web Development, Web Development Tools

https://www.coursera.org/learn/attract-and-engage-customers

223,416

This course is designed for anyone who is interested in learning more about modern astronomy. We will help you get up to date on the most recent astronomical discoveries while also providing support at an introductory level for those who have no background in science.

4.4K

Beginner

Course

1 - 4 Weeks

Introduction to Psychology

Yale University

Critical Thinking

https://www.coursera.org/learn/introduction-psych

20,219

Project management is a booming field with many opportunities for those with the appropriate skills. This course is designed for anyone interested in starting a career in this field and provides a comprehensive introduction to project management. Today’s industries are increasingly becoming oriented around projects. As a result, more organizations need project management professionals and Agile Scrum Masters to help plan, manage, and execute these projects. By controlling various factors such as time and resources, project management enables organizations to increase the success rate of their projects, mitigate project risks, and reduce overall costs. In this course, you will learn what project management is, its benefits, and challenges encountered by project managers. You will also learn how recent trends, such as remote work, Agile, and artificial intelligence, have re-shaped modern project management. This course also addresses opportunities for different careers within project management. It will discuss jobs across different industries and experience levels, as well as the various technical and soft skills required for project management work. Throughout this course, you will learn through lectures, interviews with experienced project management professionals, readings, activities, and quizzes designed to teach you the fundamentals of project management. You will gain a range of technical and practical knowledge and get insights and guidance from experts in the field.

27K

Beginner

Course

1 - 3 Months

Networking in Google Cloud

Google Cloud

Cloud Computing, Google Cloud Platform, Cloud Platforms, Cloud Engineering, Cloud Infrastructure, Computer Networking, Cloud Applications, Other Cloud Platforms and Tools, Cloud Management, Cloud Storage, Network Architecture, Network Model, Network Security, DevOps, Software-Defined Networking, Google App Engine, Kubernetes, Leadership and Management

https://www.coursera.org/specializations/networking-google-cloud-platform

The Network Automation Engineering Fundamentals Specialization takes mid- to expert-level network engineers through the primary topics of network automation and programmability and prepares them for the NetDevOps environment. This Specialization serves as a well-rounded survey of topics and core skills that a network automation engineer should know to effectively deploy and operate a NetDevOps environment. Completing this Specialization will help you prepare to operate as a network automation engineer with the skills needed to advance your career. Applied Learning Project We do not have any hands-on projects in this specialization curriculum. On Completion of this Specialization, you will be prepared to operate as a network automation engineer with the necessary skills needed to advance in your career. This Specialization serves as a well-rounded survey of topics and core skills that a network automation engineer should know to effectively deploy and operate a NetDevOps environment.

48K

Intermediate

Specialization

3 - 6 Months

Linear Algebra for Machine Learning and Data Science

DeepLearning.AI

Algebra, Linear Algebra, Mathematics, Python Programming, Critical Thinking, Dimensionality Reduction, Machine Learning Algorithms, Mathematical Theory & Analysis, Machine Learning

https://www.coursera.org/learn/machine-learning-linear-algebra

68,047

After completing this course, learners will be able to: • Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence, etc. • Apply common vector and matrix algebra operations like dot product, inverse, and determinants • Express certain types of matrix operations as linear transformations • Apply concepts of eigenvalues and eigenvectors to machine learning problems Mathematics for Machine Learning and Data science is a foundational online program created in by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly program is where you’ll master the fundamental mathematics toolkit of machine learning. Many machine learning engineers and data scientists need help with mathematics, and even experienced practitioners can feel held back by a lack of math skills. This Specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use easy-to-follow plugins and visualizations to help you see how the math behind machine learning actually works. Upon completion, you’ll understand the mathematics behind all the most common algorithms and data analysis techniques — plus the know-how to incorporate them into your machine learning career. This is a beginner-friendly program, with a recommended background of at least high school mathematics. We also recommend a basic familiarity with Python, as labs use Python and Jupyter Notebooks to demonstrate learning objectives in the environment where they’re most applicable to machine learning and data science. If you are already familiar with the concepts of linear algebra, Course 1 will provide a good review, or you can choose to take Course 2 of this specialization, Calculus for Machine Learning and Data Science now, and Course 3, Probability and Statistics for Machine Learning and Data Science when it is released in April.

1K

Beginner

Course

1 - 4 Weeks

Developing Applications with Google Cloud

Google Cloud

Cloud Computing, Google Cloud Platform, Cloud Applications, Cloud Platforms, Cloud API, Cloud Infrastructure, Other Cloud Platforms and Tools, Cloud Engineering, Cloud Management, Cloud Storage, Application Development, DevOps, Google App Engine, Software Architecture, Computer Architecture, Machine Learning Software, Kubernetes

https://www.coursera.org/specializations/developing-apps-gcp

12,137

DevOps is more than just a fusion of development and operations. It is the cultural change that organizations everywhere are adopting to become more agile and innovate at scale. It makes it easier to deliver software and services at the speed the market demands. This specialization will equip you with a foundational understanding of DevOps, Cloud Computing, Agile, and Scrum and their transformational impact on businesses and approaches to software engineering You will learn about the DevOps culture and its benefits, Cloud Computing fundamentals, the Agile philosophy, and Scrum methodology. You will familiarize yourself with the skills, technology, tools, processes, practices, and metrics to become a successful DevOps practitioner. This specialization is suitable for both technical audiences - who want to either upskill with DevOps or start a career in this in-demand domain to become DevOps Engineers, Software Engineers, Application Developers, SREs, Cloud Specialists, etc., as well less technical audiences - including managers, executives, product managers, and project managers. Applied Learning Project The projects in these courses do not involve any coding and are designed for you to apply and demonstrate your grounding in DevOps and its principles. You will: examine a business case study and make your recommendations for transforming the organization to adopt DevOps;   create a cloud account and provision a service on cloud; and develop an Agile plan with ZenHub by writing user stories, and simulating a Scrum sprint. 

48K

Intermediate

Specialization

3 - 6 Months

Security in Google Cloud

Google Cloud

Google Cloud Platform, Cloud Computing, Cloud Platforms, Cloud Infrastructure, Cloud Management, Security Engineering, System Security, Cloud Applications, Cloud Engineering, Computer Security Models, Other Cloud Platforms and Tools, Cloud Storage, Network Security, Security Software, Security Strategy, Software Security, DevOps, Google App Engine, Kubernetes

https://www.coursera.org/specializations/security-google-cloud-platform

21,352

Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Security Command Center, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a Google Cloud-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_serviceOpens in a new tab <<< Applied Learning Project This specialization incorporates hands-on labs using our Qwiklabs platform. These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with many of the concepts explained throughout the modules.

48K

Intermediate

Specialization

3 - 6 Months

ChatGPT Advanced Data Analysis

Vanderbilt University

Data Analysis

https://www.coursera.org/learn/chatgpt-advanced-data-analysis

224,299

In this final, capstone course of the Google Project Management Certificate, you will practice applying the project management knowledge and skills you have learned so far. We encourage learners to complete Courses 1-5 before beginning the final course, as they provide the foundation necessary to complete the activities in this course. As you progress through this course, you will “observe” a project manager in a real-world scenario and complete dozens of hands-on activities. You will: - analyze project documents to identify project requirements and evaluate stakeholders - complete a project charter and use it as a tool to align project scope and goals among stakeholders - identify tasks and milestones and document and prioritize them in a project plan - define quality management standards and explore how to effectively share qualitative data - demonstrate your project’s impact through effective reporting By the end of this course, you will have developed a portfolio of project management artifacts that will demonstrate the skills you have learned throughout the entire program, such as your ability to manage stakeholders and teams, organize plans, and communicate project details. These artifacts can exhibit your career readiness when applying for jobs in the field. To further prepare you to interview for project management jobs, you will reflect on past projects, develop an “elevator pitch,” and anticipate common interview questions. Current Google project managers will continue to instruct and provide you with the strategies, tools, and resources to meet your goals. After completing this program, you should be equipped to apply for introductory-level jobs as a project manager. You will also have the opportunity to claim a certification of completion badge that will be recognizable to employers.

154

Beginner

Course

1 - 3 Months

Digital Marketing

University of Illinois at Urbana-Champaign

Digital Marketing, Marketing, Market Analysis, Media Strategy & Planning, Social Media, Data Analysis, Market Research, Advertising, Communication, Strategy, Business Analysis, Data Visualization, Exploratory Data Analysis, Data Management, Brand Management, Marketing Management, Data Analysis Software, Decision Making, Marketing Design, Critical Thinking, Process Analysis, Business Communication, Business Intelligence, Business Transformation, Interactive Data Visualization, Collaboration, Innovation, Planning

https://www.coursera.org/specializations/digital-marketing

3,680

In this specialization, we examine the revolution of the fashion industry as it has set course towards a more digital and sustainable future. Through three different courses, you will not only look creatively at the ways technology can combat industry-wide challenges in fashion, but actively explore avenues to join the effort to create a more ethical fashion future. This specialization is designed for fashion professionals who are embracing the Digital Transformation of society and digitalization in fashion and want to play a part in it. A background of at least 2 years of experience working in the fashion industry with a focus in the fields of design, buying, production, marketing, or education is recommended. Applied Learning Project Throughout each course in this specialization, you will hear from industry leaders who are pioneering Digital Transformation. The case studies will introduce you to many important issues facing the fashion industry today as well as to those who are thinking creatively to deliver true sustainable innovation and transparency throughout the global fashion supply chain. As a part of each course, you’ll complete an immersive project where you can engage your passion for understanding the digital fashion transformation and apply it in meaningful ways to your current work.

22K

Beginner

Specialization

3 - 6 Months

What is Data Science?

IBM

Data Science, Data Mining, Big Data, Data Analysis, Deep Learning, Machine Learning, Regression, Writing

https://www.coursera.org/learn/what-is-datascience

871,872

Do you want to know why data science has been labeled the sexiest profession of the 21st century? After taking this course, you will be able to answer this question, understand what data science is and what data scientists do, and learn about career paths in the field. The art of uncovering insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and accurately predicted the Nile River's flooding every year. Since then, people have continued to use data to derive insights and predict outcomes. Recently, they have carved out a unique and distinct field for the work they do. This field is data science. In today's world, we use Data Science to find patterns in data and make meaningful, data-driven conclusions and predictions. This course is for everyone and teaches concepts like how data scientists use machine learning and deep learning and how companies apply data science in business. You will meet several data scientists, who will share their insights and experiences in data science. By taking this introductory course, you will begin your journey into this thriving field.

67K

Beginner

Course

1 - 4 Weeks

Gestión de Proyectos de Google

Google

Leadership and Management, Project Management, Strategy and Operations, Organizational Development, Planning, Strategy, Collaboration, Communication, Adaptability, Change Management, Decision Making, Media Strategy & Planning, Process Analysis, Probability & Statistics, Risk Management, Scrum (Software Development), Agile Software Development, Budget Management, Natural Language Processing, Product Management, Prospecting and Qualification, Search Engine Optimization, Product Development, Estimation, Software Engineering, Supply Chain and Logistics

https://www.coursera.org/professional-certificates/gestion-de-proyectos-de-google

Préparez-vous à une nouvelle carrière en dans le domaine à forte croissance de la gestion de projet, aucune expérience ni aucun diplôme requis. Suivez une formation professionnelle conçue par Google et dénichez rapidement un emploi bien rémunéré.  Les chefs de projet sont des experts de la résolution de problèmes. Ils élaborent des plans, encadrent leur équipe et gèrent les changements, risques et partenaires. Les six cours de ce programme vous fourniront les compétences recherchées qui vous prépareront à un poste de niveau débutant. Apprenez des employés de Google dont les bases en gestion de projet ont permis de lancer leur propre carrière. Moins de 10 h semaine sont nécessaires pour terminer en moins de six mois. Ce programme vous donne droit à plus de 100 h de formation en gestion de projet, ce qui vous prépare aux certifications duProject Management InstituteOpens in a new tab, comme leCertified Associate in Project Management (CAPM)®, mondialement reconnu.Opens in a new tab 75 % des diplômés du Certificat professionnel Google ont constaté une évolution positive de leur carrière, telle qu’un nouvel emploi, une promotion ou une augmentation de salaire dans les 6six mois qui suivent l’obtention de leur diplôme². Découvrez tous les certificats professionnels Google iciOpens in a new tab. ²Sondage de tous les temps sur les résultats des apprenants Coursera du Google IT Support Certificate Les données recueillies à partir d’enquêtes sur la plateforme ou par courriel entre le 18 et le 21 janvier sont cumulatives. Applied Learning Project Ce programme comprend plus de 140 heures d’enseignement et des centaines d’évaluations pratiques qui vous aideront à simuler des scénarios de gestion de projet concrets, essentiels à la réussite en milieu professionnel. Le programme très interactif a été créé spécifiquement par des employés de Google possédant des dizaines d'années d’expérience en gestion de projet. Les compétences acquises comprendront : la création de programmes de gestion des risques; la compréhension des techniques d’amélioration des processus; la gestion des escalades, la dynamique d’équipe et les partenaires; l’établissement de budgets et l’exploration des approvisionnements; l’utilisation de logiciels, d’outils et de modèles de gestion de projet; la pratique de la gestion de projet Agile, et plus particulièrement sur Scrum. Grâce à des vidéos, à des évaluations et à des activités pratiques, vous serez initié(e) au lancement, à la planification et à l’exécution de projets traditionnels et Agile.

6.4K

Beginner

Professional Certificate

3 - 6 Months

Business Strategy

University of Virginia

Strategy, Strategy and Operations, Leadership and Management, Entrepreneurship, Marketing, Sales, Market Analysis, Business Development, Business Analysis, Business Transformation, Finance, Investment Management, Planning, Product Strategy, Business Design, Research and Design, Risk Management

https://www.coursera.org/specializations/business-strategy

42,066

Innovation goes beyond technology, products and processes. The new competitive landscape requires another, more holistic and strategic perspective, based on the concept of business models. This course gives you access to the Odyssey 3.14 approach, a pioneering framework that will help you invent or reinvent business models. This highly innovative approach has been developed by Laurence Lehmann-Ortega and Hélène Musikas and has proven to be a very valuable methodology for start-up entrepreneurs, business unit managers and intrapreneurs alike. It offers a practical and highly effective framework and toolbox to create, invent or reinvent business models in a very disciplined way. The approach starts with a deep dive into the 3 pillars of the business model: - The value proposition (who are our customers and what are we offering them?) - The value architecture (how are we organized in order to deliver this value proposition to our customers in due time) - The profit equation (how the alignment between the first 2 pillars generates a profit) 14 directions are then explored in order to invent or reinvent a business model. Examples of the directions include “reducing clients overall costs”, “modifying the revenue stream”, “introducing a third party”, “eliminating a step in the value chain”, and “exploring new resources”. Illustrated by numerous examples, both iconic (Ikea, Tetra Pack, Grameen Bank…) and more recent (Airbnb, Zopa, Drive Now…), these directions stimulate your creativity to rigorously explore all possible innovation paths. Innovation becomes an adventure, an odyssey… hence the name of the approach! Odyssey 3.14 is the result of over 15 years of research, consulting and teaching. Over 150 companies that have successfully invented or reinvented their business model have been thoroughly analyzed and will inspire you to develop your own new, innovative business model. This course is a part of the MSIE program at HEC. If you liked it, do not hesitate to consult the other courses of the program.

4K

Beginner

Specialization

3 - 6 Months

HTML, CSS, and Javascript for Web Developers

Johns Hopkins University

Front-End Web Development, HTML and CSS, Javascript, Web Development

https://www.coursera.org/learn/html-css-javascript-for-web-developers

72,882

In this course, you’ll use software development tools like HTML to build attractive web pages that work well—and you’ll use structured semantic data to control how websites appear to the end user. You will then dive deeper into CSS by applying increasingly specific styling to various elements. You’ll learn to use Bootstrap’s grid system to create layouts and work with components and themes. Finally, you’ll explore debugging and learn how it can be utilized to banish common front-end errors. By the end of this course you will be able to: • Create a simple form with a responsive layout using HTML5 and CSS • Create a responsive layout using CSS • Create a UI using Bootstrap • Implement debugging tools This is a beginner course for learners who would like to prepare themselves for a career in front-end development. To succeed in this course, you do not need prior development experience, only basic internet navigation skills and an eagerness to get started with coding.

16K

Mixed

Course

1 - 3 Months

Applied Data Science with Python

University of Michigan

Python Programming, Data Analysis, Computer Programming, Machine Learning, Algorithms, Applied Machine Learning, Data Mining, Machine Learning Algorithms, Exploratory Data Analysis, Statistical Programming, Data Management, Extract, Transform, Load, Natural Language Processing, Critical Thinking, Statistical Machine Learning, Graph Theory, Network Analysis, Computer Programming Tools, Human Learning, Data Visualization, Network Model, Data Analysis Software, Regression, Computer Networking, General Statistics, Network Architecture, Plot (Graphics), Visualization (Computer Graphics), Computer Graphics

https://www.coursera.org/specializations/data-science-python

144,609

This is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. This capstone project course will give you the chance to practice the work that data scientists do in real life when working with datasets. In this course you will assume the role of a Data Scientist working for a startup intending to compete with SpaceX, and in the process follow the Data Science methodology involving data collection, data wrangling, exploratory data analysis, data visualization, model development, model evaluation, and reporting your results to stakeholders. You will be tasked with predicting if the first stage of the SpaceX Falcon 9 rocket will land successfully. With the help of your Data Science findings and models, the competing startup you have been hired by can make more informed bids against SpaceX for a rocket launch. In this course, there will not be much new learning, instead you’ll focus on hands-on work to demonstrate and apply what you have learnt in previous courses. By successfully completing this Capstone you will have added a project to your data science and machine learning portfolio to showcase to employers.

34K

Intermediate

Specialization

3 - 6 Months

Google データアナリティクス

Google

Data Analysis, Databases, Data Analysis Software, Data Management, Data Visualization, SQL, Spreadsheet Software, Business Analysis, Process Analysis, Microsoft Excel, Data Structures, Business Research, Problem Solving, R Programming, Visualization (Computer Graphics), Data Visualization Software, Decision Making, Exploratory Data Analysis, Big Data, Communication, Planning, Statistical Analysis, Tableau Software, Computer Programming, Plot (Graphics), Leadership and Management

https://www.coursera.org/professional-certificates/data-analytics-japanese

1,567

成長著しいサイバーセキュリティの分野で新たなキャリアを築くための準備をすることができます。経験や学位は必要ありません。Google 考案の専門的なトレーニングを受けることができます。 組織は、詐欺やフィッシングといったサイバー関連の脅威から、自分自身とそのサービスを提供する人々を継続的に守る必要があり、内部システムや情報の機密性、完全性、可用性を維持するために、サイバーセキュリティに取り組んでいます。サイバーセキュリティ アナリストは、脅威や不正アクセスから身を守り、万が一脅威が発生した場合にはセキュリティ管理策の実施を行うために、さまざまな手法や技術を駆使します。 このプログラムは 8 つのコースを通して、エントリーレベルの職につくための需要の高いスキルを身に付けます。実際にサイバーセキュリティの基礎から自身のキャリアを始めた Google の社員から学ぶことができます。週 10 時間以下の学習で、6ヶ月以内の修了が可能です。サイバーセキュリティ アナリスト、セキュリティ オペレーション センター（SOC）アナリストなどの職に就くための準備ができます。 認定証を取得すると、さまざまな企業に応募する際にアピールすることができます。Google サイバーセキュリティ プロフェッショナル認定証は、サイバーセキュリティの分野で業界をリードする CompTIA Security+ の試験対策にも役立ちます。これらの認定証・資格を取得すると、2 つの専門資格を取得することができます。 Applied Learning Project このプログラムは 170 時間を超える講義と数百もの実践に基づいたテストを含み、職場の成功に不可欠な実際のデータ分析のシナリオをシミュレーションすることができます。動画やテスト、実践編を織り交ぜながら、エントリーレベルの職に必要なサイバーセキュリティツール、プラットフォーム、スキルを身につけることができます。 習得できるスキル： Python、Linux、SQL、SIEM（セキュリティ情報イベント管理）ツール、不正侵入検知システム（IDS）、コミュニケーション力、コラボレーション力、分析力、課題解決など さらに、各コースにはポートフォリオ作成編があり、就職希望先と共有できるサイバーセキュリティスキルの例をポートフォリオにまとめ、就職希望先にアピールすることができます。雇用主が今求めている、具体的で実践的なスキルを学びましょう。

327

Beginner

Professional Certificate

3 - 6 Months

Foundations of Positive Psychology

University of Pennsylvania

Resilience

https://www.coursera.org/specializations/positivepsychology

31,755

Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company. This Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma. This Specialization will provide you with the skill set needed to help achieve the next step in your career.

7.4K

Beginner

Specialization

3 - 6 Months

Introduction to Data Analytics

IBM

Data Analysis, Databases, Python Programming, SQL, Data Management, Data Mining, Data Science, Data Visualization, NoSQL, R Programming, Microsoft Excel

https://www.coursera.org/learn/introduction-to-data-analytics

391,280

This course gives you the background needed to understand basic Cybersecurity. You will learn the history of Cybersecurity, types and motives of cyber attacks to further your knowledge of current threats to organizations and individuals. Key terminology, basic system concepts and tools will be examined as an introduction to the Cybersecurity field. You will learn about critical thinking and its importance to anyone looking to pursue a career in Cybersecurity. Finally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era. This course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the first course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst. The completion of this course also makes you eligible to earn the Introduction to Cybersecurity Tools & Cyber Attacks IBM digital badge. More information about the badge can be found https://www.youracclaim.com/org/ibm/badge/introduction-to-cybersecurity-tools-cyber-attacks

14K

Beginner

Course

1 - 3 Months

DevOps on AWS

Amazon Web Services

Amazon Web Services, Cloud Computing, Continuous Delivery, Continuous Integration, DevOps, Devops Tools, Cloud Applications, Cloud Infrastructure, Cloud Management, Cloud Platforms, Cloud Standards, Software Testing, Leadership and Management, Cloud Storage

https://www.coursera.org/specializations/aws-devops

3,201

In this Specialization, you will master design thinking competencies in an engaging hands-on, project-based format.  We will guide you through a detailed 14-Step process where you will tackle a human-centered problem that you want to solve. You will learn and practice all of the most important tools from the field of human-centered design to generate ideas and connect with your customers on a human level. You will then deepen your practice by taking an in-depth journey through six key phases of the design thinking process, from immersion to learning-in-action, and explore the shifts in mindsets and skillsets that accompany them. Applied Learning Project Using a 14-Step process, you will apply concepts and complete deliverables related to a project of your choosing, using it to practice a series of important tools to generate and test ideas and achieve your project goals. You will also create a Personal Development Plan (PDP) that will deepen your design competencies by guiding your personal journey through six key phases of design thinking.

4.7K

Intermediate

Specialization

1 - 3 Months

Mathematics for Machine Learning

Imperial College London

Algebra, Linear Algebra, Mathematics, Machine Learning, Mathematical Theory & Analysis, Computer Programming, Python Programming, Machine Learning Algorithms, Calculus, Computational Logic, Algorithms, Applied Machine Learning, Differential Equations, Problem Solving, Statistical Analysis, Dimensionality Reduction, Statistical Programming, Regression

https://www.coursera.org/specializations/mathematics-machine-learning

193,262

For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science. In the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them. The second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting. The third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge. At the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning. Applied Learning Project Through the assignments of this specialisation you will use the skills you have learned to produce mini-projects with Python on interactive notebooks, an easy to learn tool which will help you apply the knowledge to real world problems. For example, using linear algebra in order to calculate the page rank of a small simulated internet, applying multivariate calculus in order to train your own neural network, performing a non-linear least squares regression to fit a model to a data set, and using principal component analysis to determine the features of the MNIST digits data set.

14K

Beginner

Specialization

3 - 6 Months

Certified in Cybersecurity

ISC2

Computer Security Incident Management, Risk Management, Leadership and Management, Network Security, Cryptography, Cyberattacks, Operations Management

https://www.coursera.org/specializations/certified-in-cybersecurity

19,720

The healthcare system is a rapidly evolving field with new research leading to advancements in medicine. Developed at Johns Hopkins University and led by top-ranked Hopkins faculty and cancer experts, this specialization on Cancer Biology focuses on the basics of cancer biology, how cancer metastasis occurs, and specifically, screening guidelines for prostate cancer, the most common cancer in American men. This specialization starts with an Introduction to the Biology of Cancer, introduces the molecular biology of cancer and the biologic hallmarks of cancer. The course also describes the risk factors for the major cancers worldwide, including lung cancer, breast cancer, colon cancer, prostate cancer, liver cancer, and stomach cancer. Experts at Johns Hopkins University explain how cancer is staged, the major ways cancer is found by imaging, and how the major cancers are treated. The specialization takes a deeper dive in Understanding Cancer Metastasis, explaining how cancer spreads or metastasizes. This course will describe the major theories of metastasis and then describe the biology behind the steps in metastasis. The course also describes the major organs targeted by metastasis and describes how metastases harm the patient. Lastly, it focuses on Understanding Prostate Cancer, providing you with the tools to examine the incidence of prostate cancer, including risk factors, stages, and treatments at each stage. Applied Learning Project Learners will be able to identify the major types of cancer worldwide, describe how genes contribute to the risk and growth of cancer, and describe the ten cellular hallmarks of cancer. Learners will also describe uncontrolled cell division as well as mutation, neoangiogenesis and their roles in tumor formation. From this learners will be introduced to prostate cancer and be able to list the risk factors. Specifically, you will examine how prostate cancer is found, diagnosed, staged, and treated.

475

Beginner

Specialization

3 - 6 Months

Start the UX Design Process: Empathize, Define, and Ideate

Google

Audit, Collaboration, Human Computer Interaction, User Experience, User Experience Design, User Research

https://www.coursera.org/learn/start-ux-design-process

423,355

Start the UX Design Process: Empathize, Define, Ideate is the second course in a certificate program that will equip you with the skills needed to apply to entry-level jobs in user experience (UX) design. In this course, you’ll complete the first phases of the design process for a project that you’ll be able to include in your portfolio. You will learn how to empathize with users and understand their pain points, define user needs using problem statements, and come up with lots of ideas for solutions to those user problems. Current UX designers and researchers at Google will serve as your instructors, and you will complete hands-on activities that simulate real-world UX design scenarios. Learners who complete the seven courses in this certificate program should be equipped to apply for entry-level jobs as UX designers. No previous experience is necessary. By the end of this course, you will be able to: - Empathize with users to understand their needs and pain points. - Create empathy maps, personas, user stories, and user journey maps to understand user needs. - Develop problem statements to define user needs. - Generate ideas for possible solutions to user problems. - Conduct competitive audits. - Start designing a mobile app, a new project to include in your professional UX portfolio.

14K

Beginner

Course

1 - 4 Weeks

Connected Leadership

Yale University

Leadership and Management, Change Management, People Management, Process Analysis

https://www.coursera.org/learn/connected-leadership

197,629

Conduct UX Research and Test Early Concepts is the fourth course in a certificate program that will equip you with the skills you need to apply to entry-level jobs in user experience (UX) design. In this course, you will learn how to plan and conduct a usability study to gather feedback about designs. Then, you will modify your low-fidelity designs based on insights from your research. Current UX designers and researchers at Google will serve as your instructors, and you will complete hands-on activities that simulate real-world UX design scenarios. Learners who complete the seven courses in this certificate program should be equipped to apply for entry-level jobs as UX designers. By the end of this course, you will be able to: - Plan a UX research study, including the project background, research goals, research questions, Key Performance Indicators, methodology, participants, and script. - Explain the importance of respecting privacy and user data. - Conduct a moderated and unmoderated usability study. - Take notes during a usability study. - Create affinity diagrams to group and analyze data. - Synthesize observations from research and come up with insights. - Develop persuasive presentation skills to share research insights. - Modify low-fidelity designs based on research insights. - Continue to design a mobile app to include in your professional portfolio. To be successful in this course, you should complete the previous three courses in the certificate program. Or, you need to have an ability to conduct user research to inform the creation of empathy maps, personas, user stories, user journey maps, problem statements, and value propositions; as well as an ability to create wireframes and low-fidelity prototypes on paper and in Figma.

275

Beginner

Course

1 - 3 Months

Unsupervised Learning, Recommenders, Reinforcement Learning

DeepLearning.AI

Algorithms, Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Human Learning, Deep Learning, Machine Learning Software, Artificial Neural Networks, Reinforcement Learning, Tensorflow

https://www.coursera.org/learn/unsupervised-learning-recommenders-reinforcement-learning

131,435

In the third course of the Machine Learning Specialization, you will: • Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. • Build recommender systems with a collaborative filtering approach and a content-based deep learning method. • Build a deep reinforcement learning model. The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.

2.1K

Beginner

Course

1 - 4 Weeks

Supply Chain Management

Rutgers the State University of New Jersey

Supply Chain Systems, Supply Chain and Logistics, Planning, Strategy and Operations, Business Process Management, Inventory Management, Leadership and Management, Operations Management, Business Analysis, Continuous Delivery, Data Analysis, Estimation, Forecasting, Spreadsheet Software, Statistical Analysis, Strategy, Warehouse Management, Probability & Statistics, Transportation Operations Management, Material Handling, Shipping and Receiving, Store Management, Operations Research, Performance Management

https://www.coursera.org/specializations/supply-chain-management

162,899

This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy. The Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances. The Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case. Interested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ CertificateOpens in a new tab.

14K

Beginner

Specialization

3 - 6 Months

TESOL Certificate, Part 1: Teach English Now!

Arizona State University

Human Learning, Planning, Strategy, Mergers & Acquisitions

https://www.coursera.org/specializations/tesol

76,383

This specialization is the first of two specializations that make up the TESOL Certificate from Arizona State University. In this specialization, you will learn about the basic foundational principles of language acquisition and the basic techniques founded upon those principles. It will describe second or foreign language theories, and basic studies in second language acquisition and their pedagogical implications. It will elaborate upon basic design for lesson plans and provide access to professional resources. In the final Capstone Project, in collaboration with Arizona State University’s Global Launch, you will apply the skills you learned by designing a lesson plan which includes learning outcomes, assessments, materials, classroom management techniques and the learning activities themselves. When you complete this specialization, go on to the second specialization in order to complete your TESOL certificate experience!

17K

Beginner

Specialization

3 - 6 Months

Reinforcement Learning

University of Alberta

Machine Learning, Reinforcement Learning, Algorithms, Human Learning, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, Python Programming, Statistical Machine Learning, Statistical Programming, Artificial Neural Networks, Planning, Decision Making

https://www.coursera.org/specializations/reinforcement-learning

47,795

The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI). Harnessing the full potential of artificial intelligence requires adaptive learning systems. Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end. By the end of this Specialization, learners will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of Reinforcement Learning, as taught by world-renowned experts at the University of Alberta, Faculty of Science. The tools learned in this Specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems, and more. Applied Learning Project Through programming assignments and quizzes, students will: Build a Reinforcement Learning system that knows how to make automated decisions. Understand how RL relates to and fits under the broader umbrella of machine learning, deep learning, supervised and unsupervised learning. Understand the space of RL algorithms (Temporal- Difference learning, Monte Carlo, Sarsa, Q-learning, Policy Gradient, Dyna, and more). Understand how to formalize your task as a RL problem, and how to begin implementing a solution.

3.3K

Intermediate

Specialization

3 - 6 Months

Tableau Business Intelligence Analyst

Tableau Learning Partner

Business Analysis, Data Analysis, Data Architecture, Data Management, Data Visualization, Interactive Data Visualization, Project Management, Tableau Software

https://www.coursera.org/professional-certificates/tableau-business-intelligence-analyst

5,132

Whether you are just starting out or looking for a career change, the Tableau Business Intelligence Analytics Professional Certificate will prepare you for entry-level roles that require fundamental Tableau skills, such as business intelligence analyst roles. If you are detail-oriented and have an interest in looking for trends in data, this program is for you. Through hands-on, real-world scenarios, you learn how to use the Tableau platform to evaluate data to generate and present actionable business insights. Upon completion, you will be prepared to take the Tableau Desktop Specialist ExamOpens in a new tab.  With this certification, you will be qualified to apply for a position in the business intelligence analyst field.   In this program, you’ll:   Craft problem statements, business requirement documents, and visual models.  Connect with various data sources and preprocess data in Tableau for enhanced quality and analysis.  Learn to utilize the benefits of Tableau’s analytics features for efficient reporting. Learn to create advanced and spatial analytics data visualizations by integrating motion and multi-layer elements to effectively communicate insights to stakeholders. Employ data storytelling principles and design techniques to craft compelling presentations that empower you to extract meaningful insights. This program was developed by Tableau experts, designed to prepare you for a career in Business Intelligence Analytics and help you learn the most relevant skills. Applied Learning Project Throughout the program, you’ll engage in applied learning through hands-on activities to help level up your knowledge. Each course contains ungraded quizzes throughout the content, a graded quiz at the end of each module, and a variety of hands-on projects. The program activities will give you the skills to :  Preprocess, manage, and manipulate data for analysis using Tableau.  Create and customize Visualizations in Tableau.  Learn best practices for creating presentations to communicate data analysis insights to stakeholders. 

161

Beginner

Professional Certificate

3 - 6 Months

Process Data from Dirty to Clean

Google

Data Analysis, SQL, Spreadsheet Software, General Statistics, Databases, Extract, Transform, Load, Microsoft Excel

https://www.coursera.org/learn/process-data

540,235

This is the fourth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will be able to do the following: - Learn how to check for data integrity. - Discover data cleaning techniques using spreadsheets. - Develop basic SQL queries for use on databases. - Apply basic SQL functions for cleaning and transforming data. - Gain an understanding of how to verify the results of cleaning data. - Explore the elements and importance of data cleaning reports.

14K

Beginner

Course

1 - 3 Months

Generative Adversarial Networks (GANs)

DeepLearning.AI

Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Python Programming, Deep Learning, Machine Learning Software, Statistical Programming, Computer Vision, Computer Programming, Human Learning, Problem Solving

https://www.coursera.org/specializations/generative-adversarial-networks-gans

132,760

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications. By taking this course, you'll learn to: - Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment - Describe in detail the transformer architecture that powers LLMs, how they’re trained, and how fine-tuning enables LLMs to be adapted to a variety of specific use cases - Use empirical scaling laws to optimize the model's objective function across dataset size, compute budget, and inference requirements - Apply state-of-the art training, tuning, inference, tools, and deployment methods to maximize the performance of models within the specific constraints of your project - Discuss the challenges and opportunities that generative AI creates for businesses after hearing stories from industry researchers and practitioners Developers who have a good foundational understanding of how LLMs work, as well the best practices behind training and deploying them, will be able to make good decisions for their companies and more quickly build working prototypes. This course will support learners in building practical intuition about how to best utilize this exciting new technology. This is an intermediate course, so you should have some experience coding in Python to get the most out of it. You should also be familiar with the basics of machine learning, such as supervised and unsupervised learning, loss functions, and splitting data into training, validation, and test sets. If you have taken the Machine Learning Specialization or Deep Learning Specialization from DeepLearning.AI, you’ll be ready to take this course and dive deeper into the fundamentals of generative AI.

2.2K

Intermediate

Specialization

1 - 3 Months

Improve Your English Communication Skills

Georgia Institute of Technology

Communication, Writing, Business Communication, Professional Development

https://www.coursera.org/specializations/improve-english

610,452

This Specialization helps you improve your professional communication in English for successful business interactions. Each course focuses on a particular area of communication in English: writing emails, speaking at meetings and interviews, giving presentations, and networking online. Whether you want to communicate to potential employers, employees, partners or clients, better English communication can help you achieve your language and professional goals. The Capstone course will focus especially on making those important connections to take your career or business to the next level. Make yourself more competitive by improving your English through this Specialization: Improve Your English Communication Skills.

26K

Beginner

Specialization

3 - 6 Months

Agile Project Management

Google

Agile Software Development, Software Engineering, Project Management, Scrum (Software Development), Strategy and Operations, Collaboration, Leadership and Management, Communication, Entrepreneurship, Product Management, Influencing, Problem Solving

https://www.coursera.org/learn/agile-project-management

364,660

This is the fifth course in the Google Project Management Certificate program. This course will explore the history, approach, and philosophy of Agile project management, including the Scrum framework. You will learn how to differentiate and blend Agile and other project management approaches. As you progress through the course, you will learn more about Scrum, exploring its pillars and values and comparing essential Scrum team roles. You will discover how to build, manage, and refine a product backlog, implement Agile’s value-driven delivery strategies, and define a value roadmap. You will also learn strategies to effectively organize the five important Scrum events for a Scrum team, introduce an Agile or Scrum approach to an organization, and coach an Agile team. Finally, you will learn how to search for and land opportunities in Agile roles. Current Google project managers will continue to instruct and provide you with the hands-on approaches, tools, and resources to meet your goals. Learners who complete this program should be equipped to apply for introductory-level jobs as project managers. No previous experience is necessary. By the end of this course, you will be able to: - Explain the Agile project management approach and philosophy, including values and principles. - Explain the pillars of Scrum and how they support Scrum values. - Identify and compare the essential roles in a Scrum team and what makes them effective. - Build and manage a Product Backlog and perform Backlog Refinement. - Describe the five important Scrum events and how to set up each event for a Scrum team. - Implement Agile’s value-driven delivery strategies and define a value roadmap. - Explain how to coach an Agile team and help them overcome challenges. - Conduct a job search for an Agile role and learn how to succeed in your interview.

11K

Beginner

Course

1 - 4 Weeks

Security Analyst Fundamentals

IBM

Security Strategy, Computer Security Incident Management, Python Programming, Cyberattacks, DevOps, Mobile Security, Software Security, System Software, Computer Programming, Leadership and Management

https://www.coursera.org/specializations/security-analyst-fundamentals

9,872

There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a cybersecurity analyst. Throughout this specialization, you will learn concepts around digital forensics, penetration testing and incident response. You will learn about threat intelligence and tools to gather data to prevent an attack or in the event your organization is attacked. You will have the opportunity to review some of the largest breach cases and try your hand at reporting on a real world breach. The content creators and instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems. The completion of this specialization also makes you eligible to earn the System Analyst Fundamentals IBM digital badge. More information about the badge can be found here: https://www.youracclaim.com/org/ibm/badge/security-analyst-fundamentals Opens in a new tab Applied Learning Project Throughout the program, you will use virtual labs and internet sites that will provide you with practical skills with applicability to real jobs that employers value, including: Tools: e.g. Wireshark, IBM QRadar, IBM MaaS360, IBM Guardium, IBM Resilient, i2 Enterprise Insight Labs: SecurityLearningAcademy.com Libraries: Python Projects: Investigate a real-world security breach identifying the attack, vulnerabilities, costs and prevention recommendations.

3.7K

Beginner

Specialization

3 - 6 Months

Data Science

Johns Hopkins University

R Programming, Data Analysis, Statistical Programming, Statistical Analysis, Computer Programming, Exploratory Data Analysis, General Statistics, Problem Solving, Data Analysis Software, Probability & Statistics, Computer Programming Tools, Critical Thinking, Programming Principles, Statistical Tests, Data Management, Data Structures, Statistical Machine Learning, Basic Descriptive Statistics, Algorithms, Data Model, Human Learning, Machine Learning, Machine Learning Algorithms, Process Analysis, Correlation And Dependence, Data Visualization, Data Visualization Software, Plot (Graphics), Regression, Computer Graphics, Interactive Data Visualization, Applied Machine Learning, Big Data, Computational Thinking, Data Mining, Estimation, Extract, Transform, Load, Mathematics, Probability Distribution, Databases, Machine Learning Software, Communication, Computer Graphic Techniques, Knitr, Natural Language Processing, Visualization (Computer Graphics), Interactive Design, Web Development

https://www.coursera.org/specializations/jhu-data-science

3,919

This specialization is intended for professionals seeking to develop a skill set for interpreting statistical results. Through four courses and a capstone project, you will cover descriptive statistics, data visualization, measurement, regression modeling, probability and uncertainty which will prepare you to interpret and critically evaluate a quantitative analysis. Applied Learning Project Learners will develop expertise in calculating and interpreting statistical quantities, such as causal effects and measures of uncertainty. Learners will apply their knowledge to evaluating quantitative results and solving statistical problems. For the capstone project, learners will select and critically evaluate a piece of published, quantitative research.

50K

Beginner

Specialization

3 - 6 Months

Google Marketing Digital e E-Commerce

Google

E-Commerce, Marketing, Search Engine Optimization, Strategy

https://www.coursera.org/professional-certificates/certificado-de-carrera-de-google-marketing-digital-e-e-commerce

2,738

In diesem aus 5 Einzelkursen bestehenden Zertifizierungsprogramm lernen Sie auf Basis eines innovativen, von Google entwickelten Lehrplans alles, was Sie für den Start Ihrer Karriere im IT-Support brauchen. 80 % der Teilnehmenden bestätigen, dass diese Zertifizierung ihren beruflichen Werdegang nachhaltig beeinflusst hat, entweder in Form eines neuen Jobs, einer Gehaltserhöhung oder des Beginns einer ganz neuen Karriere. Dieses Programm ist Teil der Initiative „Grow with Google“, mit der Google Menschen helfen möchte, sich neue wirtschaftliche Chancen zu erarbeiten. Weitere Informationen finden Sie hier.Opens in a new tab Nach Abschluss der Kurse und einer erfolgreichen Zertifizierung können Teilnehmende mit US-amerikanischer Arbeitserlaubnis ihre Informationen direkt mit Google und potenziellen Arbeitgebern wie Hulu, Infosys, Intel, Walmart usw. teilen. Teilnehmende werden auch optimal auf die CompTIA A+Opens in a new tab Prüfungen (den Zertifizierungs-standard für die IT-Branche) vorbereitet. Wenn Sie beide Prüfungen ablegen, verfügen Sie über eine duale ZertifizierungOpens in a new tab. Das Programm besteht aus Videovorträgen, kurzen Wissenstests und praktischen Übungen aus den Bereichen Fehlerbehebung, Kundenservice, Netzwerktechnik, Betriebssysteme, Systemverwaltung und Sicherheit und deckt so alle für einen Einstieg in die IT-Branche wichtigen Bereiche ab. Applied Learning Project Dieses Zertifizierungsprogramm gibt Ihnen die Gelegenheit, reale IT-Supportszenarien zu simulieren und zu üben, sodass Sie für Ihren beruflichen Werdegang im IT-Support bestens gerüstet sind. Unter anderem sind Simulationen zu den folgenden Themen verfügbar: Zusammenbau von Computern, Netzwerktechnik, Verfassen von Supportdokumentationen, Routingpfade und Subnetze, WLAN, Gerätesoftwareverwaltung, öffentliche Schlüssel oder asymmetrische Verschlüsselung und Vorfallsmanagement. Wenn Sie umfassende Kenntnisse in diesen Bereichen sammeln, stehen Ihnen viele verschie-dene Karrierewege offen, darunter als Systemanalyst, Supportmitarbeiter, Datenbank-administrator, IT-Techniker oder Computerspezialist.

1.1K

Beginner

Professional Certificate

3 - 6 Months

Meta Marketing Analytics

Meta

Marketing, Digital Marketing, Advertising, Data Analysis, Marketing Management, Media Strategy & Planning, Business Analysis, Statistical Analysis, Probability & Statistics, Market Analysis, Communication, General Statistics, Experiment, Regression, Statistical Tests, Market Research, Basic Descriptive Statistics, Probability Distribution, Brand Management, Forecasting, Research and Design, Data Visualization, Computer Programming, Data Management, Databases, Python Programming, SQL, Statistical Programming, Storytelling, Tableau Software

https://www.coursera.org/professional-certificates/facebook-marketing-analytics

3,424

This eight-course program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary.  Developed by marketing analytics experts at Aptly and Meta, and designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more. You’ll learn basic marketing principles, how data informs marketing decisions, and how you can apply the OSEMN data analysis framework to approach common analytics questions. You’ll learn how to use essential tools like spreadsheets, SQL, and Python to collect, connect, and analyze relevant data. You’ll apply common statistical methods used to segment audiences, evaluate campaign results, optimize the marketing mix and evaluate sales funnels.  Throughout the program, you'll gain proficiency in visualizing data using Tableau and how to use Meta Ads Manager to create campaigns, evaluate results, and run experiments to optimize your campaigns. You'll have the opportunity to apply your new skills in hands-on, industry-specific projects. The final course prepares you for the Meta Marketing Science Professional Certification exam. Upon successful completion of the program, you'll earn a certificate of completion from Coursera and a Meta Marketing Science Professional Certification. Applied Learning Project Throughout the program, you’ll get to practice your new marketing data analysis skills through hands-on projects, including:  Identifying data sources Using spreadsheets to clean and filter data Using Python to sort and explore data Using Tableau to visualize results Evaluating advertising effectiveness Optimizing the sales funnel Optimizing marketing campaigns using Meta Ads Manager  Your efforts will yield a portfolio that you can showcase to prospective employers or utilize for your own business.

2.2K

Beginner

Professional Certificate

3 - 6 Months

NoSQL, Big Data, and Spark Foundations

IBM

Apache, Big Data, Data Management, Distributed Computing Architecture, Databases, NoSQL, Extract, Transform, Load, SQL, Cloud Computing, Data Model, Machine Learning, Data Architecture, Database Administration, Database Design, Cloud Applications, IBM Cloud, Kubernetes, Python Programming, Data Warehousing

https://www.coursera.org/specializations/nosql-big-data-and-spark-foundations

17,769

This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience. Taught by Johns Hopkins University, it begins with fundamental neuroscience concepts for neuroimaging. Neuroimaging methods are used with increasing frequency in clinical practice and basic research. Starting with the neuroanatomy of the brain, it then moves into principles of neuroimaging, including experimental design in neuroimaging, functional connectivity MRI, diffusion tensor imaging and spectroscopy imaging. The specialization then continues with two courses that focus on Functional Magnetic Resonance Imaging, one of the most widely used techniques for investigating the living, functioning human brain as people perform tasks and experience mental states, and a convergence point for multidisciplinary work. To conclude, the specialization moves into implementation of neurohacking using the R programming language, with the associated packages to perform data manipulation, processing, and analysis of neuroimaging data, using publicly available structural MRI. Applied Learning Project Learners will go from fMRI data design, structure and acquisition to using the R programming language (https://cran.r-project.org/) and its associated package to perform manipulation, processing, and analysis of neuroimaging data. Specifically, you will learn how to read/write images of the brain in NIfTI format, visualize and explore these images, perform inhomogeneity correction, brain extraction, and image registration (within a subject and to a template).

491

Beginner

Specialization

3 - 6 Months

Accelerated Computer Science Fundamentals

University of Illinois at Urbana-Champaign

Computer Programming, C Programming Language Family, Data Structures, Algorithms, C++ Programming, Theoretical Computer Science, Programming Principles, Computational Thinking, Problem Solving, Computer Programming Tools, Critical Thinking, Graph Theory

https://www.coursera.org/specializations/cs-fundamentals

42,050

Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths. This Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data ScienceOpens in a new tab prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance ExamOpens in a new tab. Applied Learning Project Students will solve weekly “challenge problems” by implementing fragments of C++ code in a web-based interface. Each course also features two longer-format coding projects where students will follow instructions to complete a C++ program that performs tasks such as editing images, efficiently manipulating data structures, or solving a graph search problem.

3.3K

Intermediate

Specialization

1 - 3 Months

Regulatory Compliance

University of Pennsylvania

Regulations and Compliance, Critical Thinking, Leadership and Management, Organizational Development, Risk Management, Strategy and Operations, Strategy, Employee Relations, Finance, Audit, Business Process Management, Communication, Accounting, Financial Accounting, Operations Management, People Management, Brand Management, Data Management

https://www.coursera.org/specializations/regulatory-compliance

25,738

Every organization faces a myriad of risks that can threaten its operations, reputation, and bottom line. A robust, effective compliance program can make the difference between companies that successfully navigate those risks, and those that become cautionary tales. This specialization will introduce the essential elements of effective organizational compliance by exploring the concepts, considerations, and strategies for assessing risks and managing the compliance function. You will learn the fundamental principles of effective compliance, the components of an effective compliance program and their applications, and then closely examine two of the most important areas of compliance in today’s business climate: privacy compliance, and anti-corruption. The insights from this program will be applicable to a wide range of different types of organizations, from private companies to non-profits. Applied Learning Project Over the course of this specialization, you will learn how to complete a risk profile of your company or organization, and learn the necessary strategies and features to ensure your compliance program addresses your organization’s specific risk profile. In the privacy context, you will also learn how to apply Fair Information Principles to address compliance risk in the world of data protection. Finally, you will learn strategies to combat both internal corruption and possible corruption on the part of third-party vendors, and how to address violations of the Foreign Corrupt Practices Act.

2.1K

Intermediate

Specialization

3 - 6 Months

AI Product Management

Duke University

Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Probability & Statistics, Regression, Design and Product, Human Computer Interaction, Communication, Human Factors (Security), Human Learning, User Experience, User Experience Design, Data Analysis, Data Mining, Deep Learning, Project Management, Algorithms, Data Science, Leadership and Management

https://www.coursera.org/specializations/ai-product-management-duke

19,086

Organizations in every industry are accelerating their use of artificial intelligence and machine learning to create innovative new products and systems.  This requires professionals across a range of functions, not just strictly within the data science and data engineering teams, to understand when and how AI can be applied, to speak the language of data and analytics, and to be capable of working in cross-functional teams on machine learning projects. This Specialization provides a foundational understanding of how machine learning works and when and how it can be applied to solve problems. Learners will build skills in applying the data science process and industry best practices to lead machine learning projects, and develop competency in designing human-centered AI products which ensure privacy and ethical standards. The courses in this Specialization focus on the intuition behind these technologies, with no programming required, and merge theory with practical information including best practices from industry.  Professionals and aspiring professionals from a diverse range of industries and functions, including product managers and product owners, engineering team leaders, executives, analysts and others will find this program valuable.  Applied Learning Project Learners will implement three projects throughout the course of this Specialization: 1) In Course 1, you will complete a hands-on project where you will create a machine learning model to solve a simple problem (no coding necessary) and assess your model's performance. 2) In Course 2, you will identify and frame a problem of interest, design a machine learning system which can help solve it, and begin the development of a project plan. 3) In Course 3, you will perform a basic user experience design exercise for your ML-based solution and analyze the relevant ethical and privacy considerations of the project.

382

Beginner

Specialization

3 - 6 Months

Introduction to Programming with Python and Java

University of Pennsylvania

Computer Programming, Python Programming, Programming Principles, Java Programming, Computer Programming Tools, Data Analysis, Data Structures, Problem Solving, Computational Logic, Computational Thinking, Critical Thinking, Data Analysis Software, Data Management, Data Visualization, Exploratory Data Analysis, Software Engineering, Data Science

https://www.coursera.org/specializations/programming-python-java

475,272

This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines. The problems may be relatively complex, while the MATLAB programs that solve them are relatively simple: relative, that is, to the equivalent program written in a general-purpose language, such as C++ or Java. As a result, MATLAB is being used in a wide variety of domains from the natural sciences, through all disciplines of engineering, to finance, and beyond, and it is heavily used in industry. Hence, a solid background in MATLAB is an indispensable skill in today’s job market. Nevertheless, this course is not a MATLAB tutorial. It is an introductory programming course that uses MATLAB to illustrate general concepts in computer science and programming. Students who successfully complete this course will become familiar with general concepts in computer science, gain an understanding of the general concepts of programming, and obtain a solid foundation in the use of MATLAB. Students taking the course will get a MATLAB Online license free of charge for the duration of the course. The students are encouraged to consult the eBook that this course is based on. More information about these resources can be found on the Resources menu on the right.

1.5K

Beginner

Specialization

3 - 6 Months

Mergers and Acquisitions

University of Illinois at Urbana-Champaign

Mergers & Acquisitions, Finance, Accounting, Financial Analysis, Financial Accounting, Banking, Business Analysis, Investment Management, Financial Management, Data Analysis, Market Analysis, Corporate Accouting, Taxes

https://www.coursera.org/specializations/mergersandacquisitions

8,222

In a post-pandemic world, companies across the globe are constantly looking to expand and grow their businesses. Mergers and Acquisitions (M&A) offers many ways to achieve this goal. Through this 6-course specialization in Mergers and Acquisitions, you will gain a well-rounded knowledge of key concepts that form the foundations of a successful M&A deal. The courses in this specialization focus on types of M&A deals and complex organizational structures. Topics covered include: How to value and price M&A deals Understand financial modeling and capital structure Understand complex organizational structures through the lens of financial accounting Understand the foundational elements of financial statement and ratio analysis Examine practical applications of financial analysis and valuation techniques Applied Learning Project A central premise of these courses is that obtaining a well-rounded understanding of the foundations of an M&A deal is crucial to successfully expand and grow an organization. Each subject area will be followed by an in-depth application and analysis exercise

261

Intermediate

Specialization

3 - 6 Months

Operating Systems and You: Becoming a Power User

Google

Linux, Leadership and Management, Operating Systems

https://www.coursera.org/learn/os-power-user

4,964

This Specialization provides learners with insight about operating in a transformed retail industry. You'll learn how to navigate the disruption in retail marketing caused by COVID-19 and to develop a framework to create a competitive strategy that focuses on a new customer-centric approach to marketing. You'll also learn the fundamentals of human capital management, with a focus on the retail industry, and do a deep dive into some of the practices that drive organizational success. Finally, you will review supply chain fundamentals, concentrating on the impact that the digital transformation has had on the retail industry. In utilizing meaningful retail analytics, you will learn how to generate value for retailers and their supply chains. By the end of this Specialization, you will be able to form a strategy for selling your organization's retail product while retaining internal talent and adopting a forward-thinking and iterative approach to maintaining success in the future. Applied Learning Project Each course module in this Specialization culminates in an assessment. These assessments are designed to check learners' knowledge and to provide an opportunity for learners to apply course concepts such. The assessments will be cumulative and cover the application of marketing, talent management, competitive strategy, traditional and digital supply chain, and analytics in order to develop and maintain a successful retail organization.

27K

Beginner

Course

1 - 3 Months

Data Science: Foundations using R

Johns Hopkins University

Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Computer Programming, Computer Programming Tools, Data Management, Programming Principles, Data Analysis Software, Data Structures, Statistical Analysis, Critical Thinking, Problem Solving, General Statistics, Process Analysis, Basic Descriptive Statistics, Computational Thinking, Big Data, Data Mining, Data Visualization, Databases, Extract, Transform, Load, Plot (Graphics), Communication, Computer Graphic Techniques, Computer Graphics, Interactive Data Visualization, Knitr, Visualization (Computer Graphics)

https://www.coursera.org/specializations/data-science-foundations-r

397,523

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time. Learners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material. Topics include: ~Set theory, including Venn diagrams ~Properties of the real number line ~Interval notation and algebra with inequalities ~Uses for summation and Sigma notation ~Math on the Cartesian (x,y) plane, slope and distance formulas ~Graphing and describing functions and their inverses on the x-y plane, ~The concept of instantaneous rate of change and tangent lines to a curve ~Exponents, logarithms, and the natural log function. ~Probability theory, including Bayes’ theorem. While this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, "Mastering Data Analysis in Excel," which is part of the Excel to MySQL Data Science Specialization. Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in "Mastering Data Analysis in Excel." Good luck and we hope you enjoy the course!

48K

Beginner

Specialization

3 - 6 Months

Achieving Personal and Professional Success

University of Pennsylvania

Communication, Human Learning, Professional Development, Critical Thinking, Leadership Development, Leadership and Management, People Analysis, Decision Making, Emotional Intelligence, People Development, Adaptability, Planning, Negotiation, Influencing, Innovation

https://www.coursera.org/specializations/wharton-success

44,615

Based on four of the most popular courses taught at the Wharton School, Achieving Personal and Professional Success is designed to introduce the tools and techniques for defining and achieving success at home and at work. You'll learn how to find your passion and core values, how to apply these values to your own life, how to work well with others, how to communicate effectively, how to set goals, how to use influence to achieve these goals, and even how to say you are sorry. Through exercises, self-diagnostic surveys, quizzes, and many case studies, you'll discover how to define not only what you want, but also the best way to get it. While many business courses cover topics related to successful organizational practices, these courses provide key insights into successful personal practices, whether you are in the office or in your home. We all bring ourselves to work every day, and these courses will help you be your best self wherever you are. Applied Learning Project Learners will discover their core values, create a personal success plan, learn how to apply their values for the best results at home and work, and develop a method for communicating effectively and using influence to achieve their goals. These courses will help you be your best self wherever you are.

3.1K

Beginner

Specialization

3 - 6 Months

Artificial Intelligence in Marketing

University of Virginia

Digital Marketing, Marketing, Algorithms, Customer Relationship Management, Market Analysis, Strategy, Machine Learning Software, Marketing Management, Network Analysis, Product Strategy

https://www.coursera.org/learn/uva-darden-artificial-intelligence-marketing

2,997

This Specialization is designed to help anyone involved in developing software for Arm Cortex-M processors. Over four courses you will develop your knowledge of this popular microcontroller variant used in a plethora of devices throughout the world. Whether you're a computing/engineering professional, student, or hobbyist, the training aims to give you the essential knowledge and interactive experience required to get your Cortex-M software project up-and-running, avoiding costly mistakes. Applied Learning Project Learners will be given the opportunity to apply the skills they learn with several projects. For example, learning how to build and debug a basic application targeting a Cortex-M system, and learning how to boot and initiallize a Cortex-M system using standard programming techniques.

161

Beginner

Course

1 - 4 Weeks

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

DeepLearning.AI

Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Algorithms, Computer Programming, Mathematics, Python Programming, Mathematical Theory & Analysis, Tensorflow, Human Learning

https://www.coursera.org/learn/deep-neural-network

520,132

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.

63K

Intermediate

Course

1 - 4 Weeks

Business Analytics with Excel: Elementary to Advanced

Johns Hopkins University

Business Analysis, Data Analysis, Data Visualization, Spreadsheet Software, Data Model, Decision Making, Microsoft Excel, Process Analysis, Statistical Visualization

https://www.coursera.org/learn/business-analytics-excel

174,950

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.

1.3K

Intermediate

Course

1 - 3 Months

Leading People and Teams

University of Michigan

Human Resources, Leadership and Management, People Development, Strategy and Operations, Leadership Development, Talent Management, Business Psychology, People Analysis, Communication, People Management, Strategy, Human Learning, Human Resources Operations, Business Communication, Collaboration, Influencing, Performance Management, Conflict Management, Employee Relations, Business Analysis, Marketing, Recruitment

https://www.coursera.org/specializations/leading-teams

47,949

Ensuring patient safety and healthcare quality is critical and should be a key focus of everyone in healthcare practice. This course provides healthcare practitioners and others with an introduction to the knowledge and skills needed to lead patient safety and quality improvement initiatives at the micro and macro levels. Participants will explore the foundations of health care quality and the science underlying patient safety and quality improvement, design and select effective health care measures, analyze patient safety problems and processes using tools such as human factors analysis, apply systematic approaches including the Plan-Do-Study-Act (PDSA) model to address quality improvement challenges, and learn strategies to lead a culture of change. The course takes a world view of patient safety and quality, linking participants to research and resources from the World Health Organization (WHO), the US Agency for Healthcare Research and Quality (AHRQ), the Joint Commission and other international organizations. Course highlights include personal stories, lessons learned from other industries and interviews with the President of the National Committee for Quality Assurance (NCQA) and other leaders in quality movement. Pawlson, g. & Johnson, J. (2021). Advancing Health Care Quality: Protecting Patients, Improving Lives. DEStech Publications Inc. About The George Washington University School of Nursing Ranked among the top nursing schools by U.S. News & World Report, the George Washington University School of Nursing educates and inspires nurses to provide high-quality, compassionate person-centered health care. The school develops leaders actively engaged in health promotion, patient advocacy and healthcare innovation, and prepares exceptional nurse educators who pursue quality and advance the profession. The School of Nursing is committed to improving the health and wellbeing of people and communities locally, nationally and globally. The school values lifelong learning and its students advance nursing practice, leadership and education as they make a difference in the world.

10K

Beginner

Specialization

3 - 6 Months

AI for Good

DeepLearning.AI

Artificial Neural Networks, Computer Vision, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Python Programming

https://www.coursera.org/specializations/ai-for-good

6,742

The AI for Good Specialization showcases how AI can be part of the solution when it comes to addressing some of the world’s biggest challenges in areas like public health, climate change, and disaster management. In these courses, you’ll learn from instructor Robert Monarch, who has over 20 years of experience building AI products in industry and working at the intersection of AI and public health and disaster management. Robert is also the author of Human-in-the-Loop Machine LearningOpens in a new tab, a book focused on human-centered AI applications. Throughout the courses, you'll hear from experts working on AI for Good initiatives aimed at addressing social and environmental issues. By combining human and machine intelligence, real-world datasets, best practices around data privacy, and ethical considerations, you’ll develop the knowledge and fundamental skills to tackle your own AI for good projects. These courses were built in partnership with researchers at the Microsoft AI for Good LabOpens in a new tab who offered their subject matter expertise throughout the development of the program. We are also grateful to Sasha LuccioniOpens in a new tab, Climate Lead and Researcher at HuggingFace for her help in forming the high-level program structure, outlining what kinds of topics and case studies would work best for these courses, and recruiting many of the experts that either appear in guest speaker videos or have contributed behind the scenes. Applied Learning Project Use neural networks and other AI techniques to estimate air quality throughout the city of Bogotá, Colombia. Develop an AI model to make wind power generation more predictable by providing forecasts 24 hours into the future. Apply computer vision techniques to detect and classify animals for the purpose of biodiversity monitoring. Build an image classification pipeline to perform damage assessment using satellite images taken after Hurricane Harvey in the U.S. in 2017. Use natural language processing techniques to analyze trends in a corpus of text messages sent in the aftermath of the 2010 earthquake in Haiti.

177

Beginner

Specialization

1 - 3 Months

Project Execution: Running the Project

Google

Leadership and Management, Communication, Project Management, Strategy and Operations, Business Communication, Collaboration, Risk Management, Planning

https://www.coursera.org/learn/project-execution-google

274,698

This is the fourth course in the Google Project Management Certificate program. This course will delve into the execution and closing phases of the project life cycle. You will learn what aspects of a project to track and how to track them. You will also learn how to effectively manage and communicate changes, dependencies, and risks. As you explore quality management, you will learn how to measure customer satisfaction and implement continuous improvement and process improvement techniques. Next, you will examine how to prioritize data, how to use data to inform your decision-making, and how to effectively present that data. Then, you will strengthen your leadership skills as you study the stages of team development and how to manage team dynamics. After that, you will discover tools that provide effective project team communication, how to organize and facilitate meetings, and how to effectively communicate project status updates. Finally, you will examine the steps of the project closing process and how to create and share project closing documentation. Current Google project managers will continue to instruct and provide you with hands-on approaches for accomplishing these tasks while showing you the best project management tools and resources for the job at hand. Learners who complete this program should be equipped to apply for introductory-level jobs as project managers. No previous experience is necessary. By the end of this course, you will be able to: - Identify what aspects of a project to track and compare different tracking methods. - Discuss how to effectively manage and communicate changes, dependencies, and risks. - Explain the key quality management concepts of quality standards, quality planning, quality assurance, and quality control. - Describe how to create continuous improvement and process improvement and how to measure customer satisfaction. - Explain the purpose of a retrospective and describe how to conduct one. - Demonstrate how to prioritize and analyze data and how to communicate a project’s data-informed story. - Identify tools that provide effective project team communication and explore best practices for communicating project status updates. - Describe the steps of the closing process for stakeholders, the project team, and project managers.

7.3K

Beginner

Course

1 - 3 Months

UCI Project Management

University of California, Irvine

Leadership and Management, Strategy and Operations, Project Management, Planning

https://www.coursera.org/professional-certificate/applied-project-management

1,638

In this flexible, hands-on program, you’ll have the opportunity to attend instructor-led virtual sessions, receive expert feedback on projects, and access career coaching services. Upon completing the 6-month Professional Certificate, you will:  Have fulfilled the educational requirements of the Project Management Institute’s Project Management Professional (PMP)® credential, and be prepared to pass the PMP® exam Receive a Professional Certificate issued by the University of California, Irvine and 12 units of continuing education academic credit Be prepared to confidently direct project initiation, planning, and execution, and to apply proven project management tools at every stake of a project The PMP® credential is the most important industry-recognized certification for project managers, and is highly valued by employers in every industry. PMP® credential holders in the U.S. earn about 15% more than non-credentialed peers More than 500,000 annual job openings list project management as a required skill Applied Learning Project This 4-course Professional Certificate is a 6-month, project-based curriculum taught by UCI Division of Continuing Education faculty with in-depth projects and advanced curriculum that satisfy the project management educational requirements of the Project Management Institute’s Project Management Professional (PMP)® credential. The innovative and flexible format of the program has been specifically designed for busy professionals looking to enhance their project management and career opportunities.

278

Beginner

Professional Certificate

3 - 6 Months

(ISC)² Systems Security Certified Practitioner (SSCP)

ISC2

Security Engineering, System Security, Network Security, Software Security, Computer Security Incident Management, Leadership and Management, Security Software, Risk Management, Strategy and Operations, Algorithms, Cloud Computing, Cryptography, Cyberattacks, Operations Management, Security Strategy, Human Factors (Security), Software-Defined Networking, Cloud Applications, Communication, Financial Accounting

https://www.coursera.org/specializations/sscp-training

6,958

Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification. Learn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together. 3 Steps to Career Advancement 1. Register for the course 2. Gain access for 120 days 3. Register and sit for the SSCP certification exam Upon completing the SSCP Professional Certificate, you will: 1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam Opens in a new tabas outlined below. Course 1 - Access Controls Course 2 - Security Operations and Administration Course 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery Course 4 - Cryptography Course 5 - Network and Communication Security Course 6 - Systems and Application Security 2. Receive a certificate of program completion. 3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability. Applied Learning Project Each course includes a case study that will require students to put into practice the knowledge they have gained throughout each course. Successful completion of course projects will require the basic understanding of the topics covered and the ability to relate those topics to the real world. The objective of each project is to determine whether students have understood course concepts and are able to use them in a real world setting.

546

Beginner

Specialization

3 - 6 Months

Crash Course on Python

Google

Computer Programming, Data Structures, Problem Solving, Python Programming

https://www.coursera.org/learn/python-crash-course

4,250

View the Specialization trailer: https://www.youtube.com/watch?v=XE5Rx91bdYwOpens in a new tab Many corporate decisions need cost accounting information. When you know the costs of your products, you will make better pricing decisions and you can better choose which products to offer. When you know the costs of your departments, you can better detect inefficiencies and you can better incentivize your employees. In this Specialization, you will learn the fundamentals of cost accounting. Three courses cover the basics of cost accounting. We will start with an introduction to product costing. How can you figure out the costs of your individual products? Next, we will discuss how to connect cost information with revenue information to calculate profits and profitability. Finally, we focus on how to use the information provided by cost accounting systems to optimize your business decisions. We have created the courses of this Specialization for interdisciplinary young professionals seeking to develop cost accounting skills. At the same time, the courses can help students in management and business administration to repeat the content of their introductory cost accounting course. Applied Learning Project This specialization is structured along with lecture videos and uses readings as well as a series of quizzes and interactive learning elements to help learners gain an understanding of the basics of Cost Accounting. The specialization also applies practical learning elements like building an Excel spreadsheet to determine cost functions and includes numerous illustrative examples from a variety of industries. The coursework teaches learners to plan, control, monitor, and document cost information. From product and service costing, to profit and loss calculation, and leveraging of cost information as the basis for decision-making, the specialization provides a sound foundation to cost accounting.

35K

Beginner

Course

1 - 3 Months

Programming for Everybody (Getting Started with Python)

University of Michigan

Algorithms, Computational Thinking, Computer Programming, Computer Programming Tools, Critical Thinking, Problem Solving, Programming Principles, Python Programming, Software Engineering, Theoretical Computer Science

https://www.coursera.org/learn/python

2,977,587

This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Everybody”. Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.

225K

Beginner

Course

1 - 3 Months

Entrepreneurship

University of Pennsylvania

Entrepreneurship, Strategy, Leadership and Management, Strategy and Operations, Planning, Business Development, Entrepreneurial Finance, Innovation, Finance, Financial Management, Market Research, Business Design, Critical Thinking, Product Strategy, Business Psychology, Decision Making, Financial Accounting, Financial Analysis, Marketing, Accounting, Investment Management, User Research, Collaboration, Network Model

https://www.coursera.org/specializations/wharton-entrepreneurship

461,650

Welcome to English for Business and Entrepreneurship, a course created by the University of Pennsylvania, and funded by the U.S. Department of State Bureau of Educational and Cultural Affairs, Office of English Language Programs. To enroll in this course for free, click on “Enroll now” and then select "Full Course. No certificate." This course is designed for non-native English speakers who are interested in learning more about the global business economy. In this course, you will learn about topics and language necessary to succeed in the international workplace. You will explore business English through authentic readings and video lectures, while learning about business vocabulary, concepts, and issues. Unit 1 will provide an introduction to entrepreneurship by examining ideas, products, and opportunities. In unit 2, you will learn about the basics of market research, including how to identify an opportunity. The next unit in the course will focus on business plans, why these plans are important, and will give you a chance to practice composing a business plan. In the final unit of the course, we will present basics for funding a business and will help you create a persuasive presentation, or pitch, based on a business plan. Unless otherwise noted, all course materials are available for re-use, repurposing and free distribution under a Creative Commons 4.0 Attribution license. Supplemental reading materials were provided by Newsela, which publishes daily news articles at a level that's just right for each English language learner.

5.4K

Beginner

Specialization

3 - 6 Months

People and Soft Skills for Professional and Personal Success

IBM

Leadership and Management, Communication, Problem Solving, Critical Thinking, Planning, Professional Development, Collaboration, People Management, Conflict Management

https://www.coursera.org/specializations/people-and-soft-skills-for-professional-success

132,652

People analytics is a data-driven approach to managing people at work. For the first time in history, business leaders can make decisions about their people based on deep analysis of data rather than the traditional methods of personal relationships, decision making based on experience, and risk avoidance. In this brand new course, three of Wharton’s top professors, all pioneers in the field of people analytics, will explore the state-of-the-art techniques used to recruit and retain great people, and demonstrate how these techniques are used at cutting-edge companies. They’ll explain how data and sophisticated analysis is brought to bear on people-related issues, such as recruiting, performance evaluation, leadership, hiring and promotion, job design, compensation, and collaboration. This course is an introduction to the theory of people analytics, and is not intended to prepare learners to perform complex talent management data analysis. By the end of this course, you’ll understand how and when hard data is used to make soft-skill decisions about hiring and talent development, so that you can position yourself as a strategic partner in your company’s talent management decisions. This course is intended to introduced you to Organizations flourish when the people who work in them flourish. Analytics can help make both happen. This course in People Analytics is designed to help you flourish in your career, too.

708

Beginner

Specialization

1 - 3 Months

Salesforce Sales Operations

Salesforce

Sales, Salesforce, Customer Relationship Management, Sales Systems, Account Management, Leadership and Management, Strategy and Operations, Business Process Management, Customer Success, Marketing, Operations Management, Strategy, B2B Sales, Data Visualization Software, Databases, Business Analysis, Data Visualization

https://www.coursera.org/professional-certificates/salesforce-sales-operations

38,660

The Salesforce economy will create more than $1 trillion in new revenue and 4.2 million jobs between 2019 and 2024. Developed in partnership with Trailhead — Salesforce's official learning platform — this certificate aims to teach you the foundational skills in Salesforce that will prepare you for a variety of entry-level sales roles, including the sales operations specialist position. This certificate is designed for beginners. No previous experience in Salesforce, sales, or CRM is necessary to be successful. Through four courses, you will learn the fundamentals of CRM, how to manage leads in Salesforce, how to manage opportunities in Salesforce, how to use Salesforce to ensure customer success, and how to effectively leverage Salesforce data through reports and dashboards. Applied Learning Project Learners will work hands-on in Salesforce to solve real world business problems for a fictional social media company. Throughout the certificate, learners will build a portfolio highlighting use cases where they leverage tools in the Salesforce Sales Cloud and Service Cloud to make the work of a sales team more efficient and effective during the sales process. Adopting the role of a sales operations specialist, learners will demonstrate how to optimize the work of marketing associates, sales development representatives, account executives, and sales managers.

1.2K

Beginner

Professional Certificate

3 - 6 Months

Influencing: Storytelling, Change Management and Governance

Macquarie University

Leadership and Management, Communication, Business Psychology, Strategy and Operations, Change Management, Conflict Management, Influencing, Organizational Development, Risk Management, Marketing, Negotiation, Sales, Critical Thinking, Decision Making, Entrepreneurship, Human Resources, Probability & Statistics, Business Communication, Employee Relations, Business Process Management, Innovation, People Management, Regulations and Compliance, Storytelling

https://www.coursera.org/specializations/influencing-storytelling-change-management

30,414

The ability to influence without force or coercion is important in any organization and at all levels. Modern managers must master the art of persuasive communication, adapt to the needs of the audience, construct a good narrative and inspire the audience to act (Communicate with Impact). They must learn to design and negotiate both informal and complex agreements, and do this in diverse workplace cultures (Negotiate and Resolve Conflict). The Specialization applies influencing methods in two areas of great importance: change management and risk governance. Successful change management eludes many individuals and organizations, so we propose a new approach to enable you to inspire and lead transformations (Manage Change). Similarly, in the post-financial crisis environment, many organizations acknowledge the need for effective risk governance but few, if any, have achieved it. We present evidence-based methods that will help your organization achieve its objectives (Engage the Board). Applied Learning Project The ability to influence without force or coercion is important in any organization and at all levels. Modern managers must master the art of persuasive communication, adapt to the needs of the audience, construct a good narrative and inspire the audience to act (Communicate with Impact). They must learn to design and negotiate both informal and complex agreements, and do this in diverse workplace cultures (Negotiate and Resolve Conflict). The Specialization applies influencing methods in two areas of great importance: change management and risk governance. Successful change management eludes many individuals and organizations, so we propose a new approach to enable you to inspire and lead transformations (Manage Change). Similarly, in the post-financial crisis environment, many organizations acknowledge the need for effective risk governance but few, if any, have achieved it. We present evidence-based methods that will help your organization achieve its objectives (Engage the Board)

3.6K

Beginner

Specialization

3 - 6 Months

Generative AI: Introduction and Applications

IBM

Natural Language Processing

75

Beginner

Course

1 - 4 Weeks

Assets, Threats, and Vulnerabilities

Google

Cryptography, Linux

https://www.coursera.org/learn/assets-threats-and-vulnerabilities

37,403

In this second course, you will dive deeper into the world of bookkeeping and focus on accounting for assets. If you are familiar with bookkeeping basics, such as double entry accounting, you are ready for this course. You will gain an understanding of common asset types, learn how to account for inventory, calculate cost of goods sold, and work with Property, Plant, and Equipment (PP&E). Upon completing this course, you will use your new knowledge of assets to record transactions and produce financial statements for increasingly complex business situations. By the end of this course, you will be able to: -Summarize the common types of assets a business may have -Describe the importance of control over inventory -Outline how depreciation expense is reported on an income statement -Illustrate how transactions can be recorded in terms of the resulting change in the elements of the accounting equation. Course 1 Bookkeeper Basics, or the equivalent, is a recommended prerequisite for this course.

1.3K

Beginner

Course

1 - 4 Weeks

Genomic Data Science

Johns Hopkins University

Bioinformatics, Computer Programming, Data Analysis, Python Programming, Computational Thinking, General Statistics, Exploratory Data Analysis, R Programming, Data Analysis Software, Algorithms, Computer Programming Tools, Biostatistics, Statistical Analysis, Programming Principles, Probability & Statistics, Statistical Tests, Data Structures, Operating Systems, Research and Design, Big Data, Computational Logic, Problem Solving, Statistical Programming, Experiment, Correlation And Dependence

https://www.coursera.org/specializations/genomic-data-science

36,982

Generative Adversarial Networks (GANs) are powerful machine learning models capable of generating realistic image, video, and voice outputs. Rooted in game theory, GANs have wide-spread application: from improving cybersecurity by fighting against adversarial attacks and anonymizing data to preserve privacy to generating state-of-the-art images, colorizing black and white images, increasing image resolution, creating avatars, turning 2D images to 3D, and more. The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more. Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs. This Specialization is for software engineers, students, and researchers from any field, who are interested in machine learning and want to understand how GANs work. This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research. Applied Learning Project Course 1: In this course, you will understand the fundamental components of GANs, build a basic GAN using PyTorch, use convolutional layers to build advanced DCGANs that processes images, apply W-Loss function to solve the vanishing gradient problem, and learn how to effectively control your GANs and build conditional GANs. Course 2: In this course, you will understand the challenges of evaluating GANs, compare different generative models, use the Fréchet Inception Distance (FID) method to evaluate the fidelity and diversity of GANs, identify sources of bias and the ways to detect it in GANs, and learn and implement the techniques associated with the state-of-the-art StyleGAN. Course 3: In this course, you will use GANs for data augmentation and privacy preservation, survey more applications of GANs, and build Pix2Pix and CycleGAN for image translation.

6.2K

Intermediate

Specialization

3 - 6 Months

The Business of Health Care

University of Pennsylvania

Leadership and Management, Finance, Decision Making, Performance Management, Strategy and Operations, Operations Management, Business Analysis, Financial Analysis, Financial Management, Business Psychology, Accounting, Accounts Payable and Receivable, Financial Accounting, General Accounting, Management Accounting, People Management, People Analysis, Strategy, Business Process Management, Innovation, Leadership Development, Payments, Behavioral Economics, Problem Solving, Compensation, Correlation And Dependence, Insurance Sales, Research and Design, Risk Management

https://www.coursera.org/specializations/healthcare-administration-management

18,237

This Specialization was designed to help you keep pace with the rapidly changing world of health and health care. Through partnership with Wharton and Penn Medicine, you’ll learn from experts in business acumen, health care management, and health care policy to develop the skills you’ll need to successfully navigate the quickly evolving landscape of this fast-growing field.* By the end of this specialization, you will have a strong foundational understanding of the American health care system, along with the basic financial and management skills to make better, well-informed decisions that improve the cost and quality of the health care you or your enterprise provides. *The employment of medical and health services managers is projected to grow 17% from 2014 to 2024, significantly faster than the average for all occupations. Source: Bureau of Labor Statistics, US Department of Labor. “Occupational Outlook handbook 2016-17 Edition. Medical and Health Services Managers.” Applied Learning Project Learners will have the opportunity to see the application of key concepts covered in the Specialization to real-world health care challenges using case studies and financial statements from health care initiatives. By the end of the Specialization, learners will be able to apply management and financial skills to their own practice by maximizing cost and efficiency of insurance and healthcare operations.

1.8K

Beginner

Specialization

3 - 6 Months

Diseño de Experiencia del Usuario (UX) de Google

Google

User Experience, User Experience Design, Research and Design, Visual Design, Communication, Design and Product, Persona Research, Product Design, User Research, Adaptability, Graphic Design, Collaboration, Leadership and Management, Mobile Development, Planning, Web Design, Audit

https://www.coursera.org/professional-certificates/diseno-de-experiencia-del-usuario-ux-de-google

6,420

View the Specialization trailer: https://youtu.be/nbbgAkJUbRoOpens in a new tab Digitalisation is changing our society and the working world, creating new processes and radically altering existing workflows. Aerospace is being impacted like every other scientific field and innovation without digitalisation is no longer conceivable. The three-part MOOC series “Digitalisation in Aeronautics and Space” is thus devoted to examining the transformations that have already occurred and forthcoming likely changes, posing the question: what will aerospace science be like in future and what will the influence of digitalisation be on research? An array of research fields are focused on in relation to this question, including artificial intelligence in earth observation, robots in production and digital avionics networks, among others. Applied Learning Project The course series projects are devoted to examining the principles of terrestrial technology fields and the disruptive changes caused by digitalisation; to the aircraft design process and particularly the challenges arising during the preliminary design phase and eventually to the principle tasks involved in civil aircraft maintenance. Those three assessments try to give the participants an authentic insight into aerospace research fields and possible job tasks emerging in the aerospace industry.

3.5K

Beginner

Professional Certificate

3 - 6 Months

Organizational Analysis

Stanford University

Leadership and Management, Organizational Development, Strategy, Strategy and Operations, Decision Making, Business Psychology, Change Management, Culture, Business Analysis, Business Process Management

https://www.coursera.org/learn/organizational-analysis

12,067

This Specialization is intended for beginners to learn how to become proficient writing Oracle SQL code to create, modify, and edit Oracle SQL Databases. You will learn the Oracle database foundations, explore the platform, try your hand at the basics, and become proficient at building and modifying databases. Applied Learning Project Learners will test their knowledge in quizzes, practice writing code using simulations, and create and modify their own databases in labs. By the end of this specialization, you will be proficient at building and modifying databases with Oracle SQL.

1.4K

Beginner

Course

1 - 3 Months

Six Sigma Yellow Belt

University System of Georgia

Process Analysis, Strategy and Operations, Leadership and Management, Data Analysis, Business Analysis, Business Process Management, Performance Management, Probability & Statistics, Operational Analysis, Organizational Development, Problem Solving, Project Management, General Statistics, Planning, Statistical Analysis, Statistical Tests, Critical Thinking, Basic Descriptive Statistics, Operations Management, Statistical Visualization, Correlation And Dependence, Customer Relationship Management, Probability Distribution, Collaboration, Entrepreneurship, Business Psychology, Communication

https://www.coursera.org/specializations/six-sigma-fundamentals

100,147

This specialization is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance. In this specialization, you will learn proven principles and tools specific to six sigma and lean. This is a sequential, linear designed specialization that covers the introductory level content (at the "yellow belt" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is a second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt. The proper sequence of this specialization is: Course #1 - Six Sigma Fundamentals Course #2 - Six Sigma Tools for Define and Measure Course #3 - Six Sigma Tools for Analyze Course #4 - Six Sigma Tools for Improve and Control At the end of Course #4 (Six Sigma Tools for Improve and Control), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization. It should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner "professional accreditation" in Six Sigma. However, successful completion will assist in better preparation for such professional accreditation testing. Applied Learning Project Upon completion of this specialization, learners will have created a project charter, project team charter, data collection plan, process map, along with null and alternative hypotheses, problem statement, business case, goal statement, process and scope description, and timeline. All these will be created using the six sigma principles and tools they learned.

9K

Beginner

Specialization

3 - 6 Months

Analyze Data to Answer Questions

Google

Data Analysis, Data Management, Microsoft Excel, SQL, Spreadsheet Software

https://www.coursera.org/learn/analyze-data

6,911

Being financially and data-literate is a requirement of all effective leaders. This includes the ability to analyse data and harness its value, as well as to leverage these skills to become a future-focused business leader. In four themed courses, this specialisation will: teach you that financial literacy is a required capability for every business leader (Know Your Numbers 1); provide you with a foundational understanding of how to manage your organisation’s finances effectively (Know Your Numbers 2); equip you with tools to analyse data and generate market insights (Generate Insights); and explore what to measure to maximise customer value (Know Your Customers).

9.9K

Beginner

Course

1 - 4 Weeks

Strategic Leadership and Management

University of Illinois at Urbana-Champaign

Leadership and Management, Strategy and Operations, Strategy, Leadership Development, Decision Making, Entrepreneurship, Organizational Development, Business Analysis, Business Process Management, Change Management, Business Design, Business Development, Business Transformation, Critical Thinking, Culture, Performance Management, Problem Solving, Operations Management, Human Resources, Marketing, Operational Analysis, Sales, Adaptability, Conflict Management, Influencing, Negotiation, Business Psychology, Research and Design

https://www.coursera.org/specializations/strategic-leadership

108,408

Through this 6-course Specialization in Strategic Leadership and Management, you will learn the fundamentals of effectively leading people, teams, and organizations and develop tools to analyze business situations. In addition to building a conceptual framework for leadership, learners will develop and practice strategies for immediate impact. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage both within a single business and across a portfolio of businesses. The specialization culminates in a capstone: a leadership and management plan where you’ll apply what you’ve learned to a business situation. With participation by one or more focal companies, the experiential and hands-on deliverable will provide valuable practice and create value from the perspective of potential employers. This Specialization is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admissions into the program and explore how your Coursera work can be leveraged if accepted into the program hereOpens in a new tab.

8.8K

Beginner

Specialization

3 - 6 Months

Machine Learning on Google Cloud

Google Cloud

Machine Learning, Applied Machine Learning, Google Cloud Platform, Human Learning, Machine Learning Software, Cloud Computing, Machine Learning Algorithms, Deep Learning, Cloud Platforms, Artificial Neural Networks, Feature Engineering, Exploratory Data Analysis, Tensorflow, Python Programming, Data Analysis, Data Visualization, Probability & Statistics, Regression, Statistical Programming, Statistical Visualization, Algorithms, SQL, Cloud API, Apache, Extract, Transform, Load

https://www.coursera.org/specializations/machine-learning-tensorflow-gcp

90,040

What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code?  When should you use automated machine learning or custom training?   This course teaches you how to build Vertex AI AutoML models without writing a single line of code; build BigQuery ML models knowing basic SQL; create Vertex AI custom training jobs you deploy using containers (with little knowledge of Docker); use Feature Store for data management and governance; use feature engineering for model improvement; determine the appropriate data preprocessing options for your use case; use Vertex Vizier hyperparameter tuning to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems, write distributed ML models that scale in TensorFlow; and leverage best practices to implement machine learning on Google Cloud. > By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_serviceOpens in a new tab < Applied Learning Project This specialization incorporates hands-on labs using our Qwiklabs platform. These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

9.6K

Intermediate

Specialization

3 - 6 Months

Cybersecurity Fundamentals

IBM

System Security, Cyberattacks, Cryptography, Network Security, Security Engineering

411

Beginner

Specialization

3 - 6 Months

Human Resource Management: HR for People Managers

University of Minnesota

Human Resources, Human Resources Operations, Employee Relations, Strategy and Operations, People Management, Leadership and Management, Communication, Strategy, Compensation, People Development, Performance Management, Organizational Development, Planning, Professional Development, Recruitment, Business Psychology, People Analysis, Visualization (Computer Graphics), Benefits, Business Analysis, Culture

https://www.coursera.org/specializations/human-resource-management

174,464

Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge? This specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways. Upon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees. The specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired. Applied Learning Project The projects apply the knowledge learned to specific work groups of your choosing (e.g., your own work team). You will learn how to proactively identify key challenges around staffing, performance management, and compensation and then use this to construct strategies and plans for addressing these challenges in the context of your chosen work group.

14K

Beginner

Specialization

3 - 6 Months

U.S. Federal Taxation

University of Illinois at Urbana-Champaign

Taxes, Accounting, Financial Accounting, Finance, Critical Thinking, General Accounting, Regulations and Compliance, Financial Analysis, Corporate Accouting, Generally Accepted Accounting Principles (GAAP), Problem Solving, Benefits

https://www.coursera.org/specializations/united-states-federal-taxation

15,895

This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations. Applied Learning Project Courses within this specialization involve multiple projects within each course, including preparing tax returns and real-world applications of tax principles. In addition, the Capstone for this specialization is comprised of a comprehensive project reflecting key principles of all four foundational courses.

831

Intermediate

Specialization

3 - 6 Months

Algorithms for Battery Management Systems

University of Colorado Boulder

Estimation, Mathematics, Algorithms, Probability & Statistics, Mathematical Theory & Analysis, Systems Design, Research and Design, General Statistics, Critical Thinking, Computer Programming, Algebra, Product Design, Correlation And Dependence, Design and Product, Linear Algebra, Problem Solving, Process Analysis, Computer Programming Tools, Data Model, Material Handling, Leadership and Management, Probability Distribution, Product Lifecycle, Regression

https://www.coursera.org/specializations/algorithms-for-battery-management-systems

21,805

In this specialization, you will learn the major functions that must be performed by a battery management system, how lithium-ion battery cells work and how to model their behaviors mathematically, and how to write algorithms (computer methods) to estimate state-of-charge, state-of-health, remaining energy, and available power, and how to balance cells in a battery pack. Applied Learning Project Learners will start with supplied code templates (in the Octave/MATLAB language) to build their own code to simulate lithium-ion battery cells and packs, and to estimate battery cell state-of-charge, state-of-health (capacity and resistance), remaining energy, and available power.

2.4K

Intermediate

Specialization

3 - 6 Months

Google Project Management

Google

Leadership and Management, Planning, Communication, Strategy, Strategy and Operations, Business Analysis, Business Development, Business Psychology, Collaboration, Decision Making, Design and Product, Data Analysis, Entrepreneurship, Business Communication, Conflict Management, Emotional Intelligence, People Management, C++ Programming, People Analysis, Critical Thinking, Network Security, Adaptability, Organizational Development, Project Management, Culture

https://www.coursera.org/professional-certificates/gestion-de-projet-google

26,993

This specialization has been developed to help administrators master the foundations of establishing and managing Google Workspace for their organization. You will set up a new Google Workspace account, and explore provisioning options. You will learn how to manage users and become familiar with organizational structures and Google Workspace core services. You will learn how to configure these services to meet your own organizational needs. You will be introduced to the best practices to protect your users and data. You will examine user and application security and become familiar with the Single Sign On options available. You will be able to use the tools provided to identify security events and mitigate problems that may arise. You will configure email compliance and implement measures to protect your organization from spam, spoofing, phishing and malware attacks. You will also become familiar with mail routing options available. Finally, you will learn the best practices for deploying Google Workspace for your organization. IMPORTANT - Before you enroll, you should be prepared to: - Provide credit card details as part of the trial account setup. No charges will be made to your card as long as you cancel the trial before the free period expires. For details, see About your Google Workspace free trialOpens in a new tab. - Purchase a new domain or use one that you already own. The domain you use IS NOT included as part of a Google Workspace trial. - Use the Chrome web browser. Applied Learning Project Learners will create a Google Workspace account and through a series of exercises will build an organizational structure and add users to the account. They will become familiar with the admin console and the features offered to them as the Google Workspace administrator. They will configure groups, and calendar resources, and understand how to implement core services such as Gmail and Calendar for different parts of the organization. They will also apply Google’s security best practices and become familiar with email management and compliance.

174

Beginner

Professional Certificate

3 - 6 Months