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0 | Google Cybersecurity | Google | Network Security, Python Programming, Linux, Cloud Computing, Algorithms, Audit, Computer Programming, Computer Security Incident Management, Cryptography, Databases, Leadership and Management, Network Architecture, Risk Management, SQL | 4.8 | https://www.coursera.org/professional-certificates/google-cybersecurity | 700,909 | Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
| 20K | Beginner | Professional Certificate | 3 - 6 Months |
1 | Google Data Analytics | Google | Data Analysis, R Programming, SQL, Business Communication, Spreadsheet Software, Business Analysis, Data Visualization, Data Management, General Statistics, Big Data, Communication, Computer Programming, Data Science, Data Visualization Software, Databases, Exploratory Data Analysis, Extract, Transform, Load, Leadership and Management, Microsoft Excel, Problem Solving, Small Data, Statistical Programming, Tableau Software | 4.8 | https://www.coursera.org/professional-certificates/google-data-analytics | 229,865 | Prepare for a new career in the high-growth field of cybersecurity, no degree or experience required. Get professional training designed and delivered by subject matter experts at Google and have the opportunity to connect with top employers.
Organizations must continuously protect themselves and the people they serve from cyber-related threats, like fraud and phishing. They rely on cybersecurity to maintain the confidentiality, integrity, and availability of their internal systems and information. Cybersecurity analysts use a collection of methods and technologies to safeguard against threats and unauthorized access — and to create and implement solutions should a threat get through.
During the 8 courses in this certificate program, you’ll learn from cybersecurity experts at Google and gain in-demand skills that prepare you for entry-level roles like cybersecurity analyst, security operations center (SOC) analyst, and more. At under 10 hours per week, you can complete the certificate in less than 6 months.
Upon completion of the certificate, you can directly apply for jobs with Google and over 150 U.S. employers, including American Express, Deloitte, Colgate-Palmolive, Mandiant (now part of Google Cloud), T-Mobile, and Walmart.
The Google Cybersecurity Certificate helps prepare you for the CompTIA Security+ exam, the industry leading certification for cybersecurity roles. You’ll earn a dual credential when you complete both.
Applied Learning Project
This program includes 170 hours of instruction and hundreds of practice-based assessments and activities that simulate real-world cybersecurity scenarios that are critical for success in the workplace. Through a mix of videos, assessments, and hands-on labs, you’ll become familiar with the cybersecurity tools, platforms, and skills required for an entry-level job.
Skills you’ll gain will include: Python, Linux, SQL, Security Information and Event Management (SIEM) tools, Intrusion Detection Systems (IDS), communication, collaboration, analysis, problem solving and more!
Additionally, each course includes portfolio activities through which you’ll showcase examples of cybersecurity skills that you can share with potential employers. Acquire concrete skills that top employers are hiring for right now.
| 137K | Beginner | Professional Certificate | 3 - 6 Months |
3 | Google Project Management: | Google | Project Management, Strategy and Operations, Leadership and Management, Communication, Business Communication, Collaboration, Agile Software Development, Software Engineering, Entrepreneurship, Scrum (Software Development), Planning, Supply Chain and Logistics, Change Management, Finance, Organizational Development, Product Management, Risk Management, Budget Management, Influencing, Culture, Emotional Intelligence, People Management, Problem Solving, Procurement | 4.8 | https://www.coursera.org/professional-certificates/google-project-management | 29,702 | Prepare-se para uma nova carreira no campo de alto crescimento de gerenciamento de projetos, sem necessidade de experiência ou diploma. Receba treinamento profissional desenvolvido pelo Google e aumente rapidamente sua vantagem competitiva para conquistar um trabalho bem remunerado.
Os gerentes de projeto são solucionadores naturais de problemas. Eles definem o plano, orientam os colegas de equipe e gerenciam mudanças, riscos e partes interessadas.
Ao longo de seis cursos, você desenvolverá as habilidades necessárias para conquistar um trabalho de início de carreira na área. Aprenda com funcionários do Google que melhoraram as próprias carreiras com a base que tinham em gerenciamento de projetos. Com menos de dez horas por semana, você conclui as aulas em menos de seis meses.
75% dos alunos que obtêm os Certificados do Google nos Estados Unidos relatam uma melhora em suas carreiras dentro de um intervalo de 6 meses após a obtenção da certificação.
Veja todos os Certificados de Carreira do GoogleaquiOpens in a new tab.
¹Burning Glass: Labor Insight (últimos 12 meses: 01/02/20 - 31/01/21)
Fonte: *baseado nas respostas de pesquisa com os graduados pelo programa, Estados Unidos, 2021
Applied Learning Project
Este programa inclui mais de 140 horas de instrução e de avaliações com base em situações reais, que ajudarão você a simular cenários reais de gerenciamento de projetos essenciais para o sucesso no trabalho.
O conteúdo é interativo e foi desenvolvido por funcionários do Google com experiência em gerenciamento de projetos e programas.
As habilidades incluem: Criação de planos de gerenciamento de riscos; compreensão das técnicas de melhoria de processos; gerenciamento de dinâmicas de equipes e de partes interessadas; criação de orçamentos e navegação pelas aquisições; utilização de softwares, ferramentas e modelos de gerenciamento de projetos; e prática de gerenciamento de projetos Agile, com ênfase no Scrum.
Com os vídeos, avaliações e atividades práticas, você irá iniciar, planejar e executar projetos tradicionais e Agile. Você desenvolverá recursos para demonstrar sua compreensão dos principais elementos do gerenciamento de projetos, cronogramas, orçamentos e equipes.
| 100K | Beginner | Professional Certificate | 3 - 6 Months |
4 | IBM Data Science | IBM | Python Programming, Data Science, Machine Learning, Data Analysis, Algorithms, Data Management, Data Visualization, Human Learning, R Programming, Computer Programming, Data Mining, Data Structures, Database Administration, Database Application, Database Theory, Databases, Deep Learning, Exploratory Data Analysis, Machine Learning Algorithms, Plot (Graphics), SQL, Data Model, Statistical Machine Learning, General Statistics, Probability & Statistics, Regression, Reinforcement Learning, Statistical Programming, Big Data, Cloud Computing, IBM Cloud, Writing | 4.6 | https://www.coursera.org/professional-certificates/ibm-data-science | 239,622 | Prepare for a career in the high-growth field of data science. In this program, you’ll develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist in as little as 5 months. No prior knowledge of computer science or programming languages is required.
Data science involves gathering, cleaning, organizing, and analyzing data with the goal of extracting helpful insights and predicting expected outcomes. The demand for skilled data scientists who can use data to tell compelling stories to inform business decisions has never been greater.
You’ll learn in-demand skills used by professional data scientists including databases, data visualization, statistical analysis, predictive modeling, machine learning algorithms, and data mining. You’ll also work with the latest languages, tools,and libraries including Python, SQL, Jupyter notebooks, Github, Rstudio, Pandas, Numpy, ScikitLearn, Matplotlib, and more.
Upon completing the full program, you will have built a portfolio of data science projects to provide you with the confidence to excel in your interviews. You will also receive access to join IBM’s Talent Network where you’ll see job opportunities as soon as they are posted, recommendations matched to your skills and interests, and tips and tricks to help you stand apart from the crowd.
This program is ACE® recommended—when you complete, you can earn up to 12 college credits.
Applied Learning Project
This Professional Certificate has a strong emphasis on applied learning and includes a series of hands-on labs in the IBM Cloud that give you practical skills with applicability to real jobs.
Tools you’ll use: Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio
Libraries you’ll use: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.
Projects you’ll complete:
Extract and graph financial data with the Pandas Python library
Use SQL to query census, crime, and school demographic data sets
Wrangle data, graph plots, and create regression models to predict housing prices with data science Python libraries
Create a dynamic Python dashboard to monitor, report, and improve US domestic flight reliability
Apply and compare machine learning classification algorithms to predict whether a loan case will be paid off or not
Train and compare machine learning models to predict if a space launch can reuse the first stage of a rocket
| 120K | Beginner | Professional Certificate | 3 - 6 Months |
5 | Google Digital Marketing & E-commerce | Google | Digital Marketing, Marketing, Marketing Management, Media Strategy & Planning, Sales, E-Commerce, Data Analysis, Social Media, Search Engine Optimization, Advertising, Communication, Persona Research, Strategy, Web Design, Web Development, Web Development Tools, Writing, Data Management, Market Analysis | 4.8 | https://www.coursera.org/professional-certificates/google-digital-marketing-ecommerce | 384,238 | This course is the eighth course in the Google Data Analytics Certificate. You’ll have the opportunity to complete an optional case study, which will help prepare you for the data analytics job hunt. Case studies are commonly used by employers to assess analytical skills. For your case study, you’ll choose an analytics-based scenario. You’ll then ask questions, prepare, process, analyze, visualize and act on the data from the scenario. You’ll also learn other useful job hunt skills through videos with common interview questions and responses, helpful materials to build a portfolio online, and more. 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:
- Learn the benefits and uses of case studies and portfolios in the job search.
- Explore real world job interview scenarios and common interview questions.
- Discover how case studies can be a part of the job interview process.
- Examine and consider different case study scenarios.
- Have the chance to complete your own case study for your portfolio.
| 23K | Beginner | Professional Certificate | 3 - 6 Months |
6 | IBM Data Analyst | IBM | Python Programming, Microsoft Excel, Data Visualization, Spreadsheet Software, Data Analysis, Databases, SQL, Plot (Graphics), Data Management, Data Structures, Exploratory Data Analysis, Machine Learning, Business Analysis, Computer Programming, Database Administration, Database Application, Database Theory, Statistical Visualization, Data Mining, Data Science, General Statistics, NoSQL, R Programming, Cloud Computing, Data Visualization Software, IBM Cloud, Interactive Data Visualization, Machine Learning Algorithms, Probability & Statistics, Regression, Statistical Programming | 4.6 | https://www.coursera.org/professional-certificates/ibm-data-analyst | 173,574 | Prepare for a career in the high-growth field of data analytics. In this program, you’ll learn in-demand skills like Python, Excel, and SQL to get job-ready in as little as 4 months. No prior experience or degree needed.
Data analysis is the process of collecting, storing, modeling, and analyzing data that can inform executive decision-making, and the demand for skilled data analysts has never been greater.
This program will teach you the foundational data skills employers are seeking for entry-level data analytics roles. It will not only help you start your career in data analytics, but also provides a strong foundation for future career development in other paths such as data science, artificial intelligence, deep learning, or data engineering.
You’ll learn the latest skills and tools used by professional data analysts including Excel spreadsheets, Python, Pandas, Numpy, Jupyter Notebooks, Cognos Analytics, and more. You’ll work with a variety of data sources and project scenarios to gain practical experience with data manipulation and applying analytical skills.
When you complete the full program, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support.
This program is ACE® recommended—when you complete, you can earn up to 12 college credits.
Applied Learning Project
Throughout the program, you’ll complete hands-on projects and labs and gain a firm grasp on the required technical skills to effectively gather, wrangle, mine, and visualize data, as well as the soft skills for working with stakeholders and storytelling with data to engage your audience.
Projects
Import, clean, and analyze fleet vehicle inventory with Excel pivot tables
Use car sales key performance indicator (KPI) data to create an interactive dashboard with visualizations
Extract and graph financial data with the Pandas data analysis Python library
Use SQL to query census, crime, and school demographic data sets
Wrangle data, graph plots, and create regression models to predict housing prices with data science Python libraries
Create a dynamic Python dashboard to monitor, report, and improve US domestic flight reliability
At the end of the program, you complete a real-world capstone project specifically designed to showcase your newly learned data analyst skills.
| 73K | Beginner | Professional Certificate | 3 - 6 Months |
7 | Google IT Support | Google | Computer Networking, Network Architecture, Network Model, Networking Hardware, Network Analysis, Computer Architecture, Critical Thinking, Problem Solving, Communication, Human Computer Interaction, Network Security, Linux, System Security, Cloud Computing, Computer Programming, Customer Support, Cryptography, Leadership and Management, Operating Systems | 4.8 | https://www.coursera.org/professional-certificates/support-informatique-google | 634,525 | This beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.
Knowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employersOpens in a new tab.
This program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.
This certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completion, you can share your information with potential employers, like Deloitte, Target, Verizon, and of course, Google.
We recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.
If you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional CertificateOpens in a new tab.
Check out all Google Career Certificates hereOpens in a new tab.
Applied Learning Project
Learn how to program with Python with no previous knowledge of coding required and you’ll use Python to automate common system administration tasks
Learn to use Git and GitHub, to troubleshoot and debug complex problems
Apply automation at scale by using configuration management and the Cloud
Practice your technical skills with hands-on projects including a capstone project where you’ll use your new knowledge to solve a real-world IT problem
| 183K | Beginner | Professional Certificate | 3 - 6 Months |
9 | Machine Learning | Multiple educators | Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Algorithms, Deep Learning, Machine Learning Software, Artificial Neural Networks, Human Learning, Python Programming, Regression, Statistical Machine Learning, Tensorflow, Mathematics, Critical Thinking, Network Model, Reinforcement Learning | 4.9 | https://www.coursera.org/specializations/machine-learning | 201,871 | This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.
Applied Learning Project
Learners will implement and apply predictive, classification, clustering, and information retrieval machine learning algorithms to real datasets throughout each course in the specialization. They will walk away with applied machine learning and Python programming experience.
| 19K | Beginner | Specialization | 1 - 3 Months |
11 | Google UX Design | Google | User Experience, User Experience Design, User Research, Audit, Collaboration, Human Computer Interaction, Planning, Product Design, Product Development, Social Media, Web Design, Web Development Tools | 4.8 | https://www.coursera.org/professional-certificates/google-ux-design | 1,297,487 | Prepare for a new career in the high-growth field of project management, no experience or degree required. Get professional training designed by Google and get on the fastrack to a competitively paid job. There are over 715,000 open jobs in project management with a median entry-level salary of $77,000.¹
Project managers are natural problem-solvers. They set the plan and guide teammates, and manage changes, risks, and stakeholders.
Gain in-demand skills that will prepare you for an entry-level job. Learn from Google employees whose foundations in project management served as launchpads for their own careers.
Upon completion, you can directly apply for jobs with Google and over 150 U.S. employers including Deloitte, Target, Verizon, and of course, Google.
This program qualifies you for over 100 hours of project management education, which helps prepare you for Project Management InstituteOpens in a new tab Certifications like the globally-recognized Certified Associate in Project Management (CAPM)®.Opens in a new tab
75% of certificate graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion²
Check out all Google Career Certificates hereOpens in a new tab.
¹Lightcast™ US Job Postings (2022: Jan. 1, 2022 - Dec. 31, 2022).
²Based on program graduate survey, United States 2022
Applied Learning Project
This program includes over 140 hours of instruction and hundreds of practice-based assessments which will help you simulate real-world project management scenarios that are critical for success in the workplace.
The content is highly interactive and exclusively developed by Google employees with decades of experience in program and project management.
Skills you’ll gain will include: Creating risk management plans; Understanding process improvement techniques; Managing escalations, team dynamics, and stakeholders; Creating budgets and navigating procurement; Utilizing project management software, tools, and templates; Practicing Agile project management, with an emphasis on Scrum.
Through a mix of videos, assessments, and hands-on activities, you’ll get introduced to initiating, planning, and running both traditional and Agile projects. You’ll develop a toolbox to demonstrate your understanding of key project management elements, including managing a schedule, budget, and team.
| 75K | Beginner | Professional Certificate | 3 - 6 Months |
13 | IBM DevOps and Software Engineering | IBM | DevOps, Software Engineering, Cloud Computing, Computer Programming, Application Development, Python Programming, Software Architecture, Cloud Applications, Continuous Delivery, Continuous Integration, Software Engineering Tools, Agile Software Development, Programming Principles, Security Engineering, Software Testing, Cloud Infrastructure, Kubernetes, Cloud-Based Integration, Microarchitecture, Cloud Platforms, Communication, IBM Cloud, Scrum (Software Development), Software Security, Cloud Storage, Docker (Software), Linux, Software-Defined Networking, Technical Product Management, Collaboration, Leadership and Management, Data Analysis, Mergers & Acquisitions | 4.6 | https://www.coursera.org/professional-certificates/devops-and-software-engineering | 4,063 | DevOps professionals are in high demand! According to a recent GitLab report, DevOps skills are expected to grow 122% over the next five years, making it one of the fastest growing skills in the workforce.
This certificate will equip you with the key concepts and technical know-how to build your skills and knowledge of DevOps practices, tools and technologies and prepare you for an entry-level role in Software Engineering.
The courses in this program will help you develop skill sets in a variety of DevOps philosophies and methodologies including Agile Development, Scrum Methodology, Cloud Native Architecture, Behavior and Test-Driven Development, and Zero Downtime Deployments.
You will learn to program with the Python language and Linux shell scripts, create projects in GitHub, containerize and orchestrate your applications using Docker, Kubernetes & OpenShift, compose applications with microservices, employ serverless technologies, perform continuous integration and delivery (CI/CD), develop testcases, ensure your code is secure, and monitor & troubleshoot your cloud deployments.
Guided by experts at IBM, you will be prepared for success. Labs and projects in this certificate program are designed to equip job-ready hands-on skills that will help you launch a new career in a highly in-demand field.
This professional certificate is suitable for both - those who have none or some programming experience, as well as those with and without college degrees.
Applied Learning Project
Throughout the courses in this Professional Certificate, you will develop a portfolio of projects to demonstrate your proficiency using various popular tools and technologies in DevOps and Cloud Native Software Engineering.
You will:
Create applications using Python programming language, using different programming constructs and logic, including functions, REST APIs, and various Python libraries.
Develop Linux Shell Scripts using Bash and automate repetitive tasks
Create projects on GitHub and work with Git commands
Build and deploy applications composed of several microservices and deploy them to cloud using containerization tools (such as Docker, Kubernetes, and OpenShift); and serverless technologies
Employ various tools for automation, continuous integration (CI) and continuous deployment (CD) of software including Chef, Puppet, GitHub Actions, Tekton and Travis.
Secure and Monitor your applications and cloud deployments using tools like sysdig and Prometheus.
| 44K | Beginner | Professional Certificate | 3 - 6 Months |
14 | IBM Applied AI | IBM | Machine Learning, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Python Programming, Cloud Computing, Computer Vision, Human Learning, IBM Cloud, Applied Machine Learning, Algorithms, Cloud API, Machine Learning Software, Natural Language Processing, Human Computer Interaction, Computer Programming, Cloud Applications, Computer Programming Tools, Application Development, Visualization (Computer Graphics), Data Analysis, Critical Thinking, Cloud-Based Integration, Software As A Service, Data Science | 4.6 | https://www.coursera.org/professional-certificates/applied-artifical-intelligence-ibm-watson-ai | 31,078 | Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant - understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI developer.
This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions.
Rather than create complex AI algorithms and interfaces from scratch, you’ll use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, you will have completed several projects that showcase proficiency in applying AI and building AI-powered solutions.
In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in applied AI.
Applied Learning Project
This Professional Certificate contains a number of hands-on learning projects that will help develop your understanding of AI concepts and tools. Projects include building your own AI chatbot; practicing Python for data science; building, training, and testing your own custom image classifiers; and creating your own computer vision web application and deploying it to the Cloud.
| 47K | Beginner | Professional Certificate | 3 - 6 Months |
15 | IBM Full Stack Software Developer | IBM | Cloud Computing, Python Programming, Cloud Applications, Computer Programming, IBM Cloud, Application Development, Cloud Infrastructure, DevOps, Web Development, Cloud Management, Cloud Platforms, Javascript, Software Architecture, Cloud API, Cloud Storage, Cloud-Based Integration, Full-Stack Web Development, Software Engineering, Continuous Delivery, Continuous Integration, Docker (Software), Software As A Service, Microarchitecture, Django (Web Framework), Database Application, Databases, Kubernetes, SQL, Software Engineering Tools, Data Management, NoSQL, Collaboration, Computer Science, Data Analysis, Front-End Web Development, Leadership and Management, Mergers & Acquisitions, React (web framework) | 4.6 | https://www.coursera.org/professional-certificates/ibm-full-stack-cloud-developer | 57,396 | Prepare for a career in the high-growth field of software development. In this program, you’ll learn in-demand skills and tools used by professionals for front-end, back-end, and cloud native application development to get job-ready in less than 4 months, with no prior experience needed.
Full stack refers to the end-to-end computer system application, including the front end and back end coding. This Professional Certificate covers development for both of these scenarios. Cloud native development refers to developing a program designed to work on cloud architecture. The flexibility and adaptability that full stack and cloud native developers provide make them highly sought after in this digital world.
You’ll learn how to build, deploy, test, run, and manage full stack cloud native applications. Technologies covered includes Cloud foundations, GitHub, Node.js, React, CI/CD, Containers, Docker, Kubernetes, OpenShift, Istio, Databases, NoSQL, Django ORM, Bootstrap, Application Security, Microservices, Serverless computing, and more.
After completing the program you will have developed several applications using front-end and back-end technologies and deployed them on a cloud platform using Cloud Native methodologies. You will publish these projects through your GitHub repository to share your portfolio with your peers and prospective employers.
This program is ACE® recommended—when you complete, you can earn up to 18 college credits.
Applied Learning Project
Throughout the courses in the Professional Certificate, you will develop a portfolio of hands-on projects involving various popular technologies and programming languages in Full Stack Cloud Application Development. These projects include creating:
HTML pages on Cloud Object Storage
An interest rate calculator using HTML, CSS, and JavaScript
An AI program deployed on Cloud Foundry using DevOps principles and CI/CD toolchains with a NoSQL database
A Node.js back-end application and a React front-end application
A containerized guestbook app packaged with Docker deployed with Kubernetes and managed with OpenShift
A Python app bundled as a package
A database-powered application using Django ORM and Bootstrap
An app built using Microservices & Serverless
A scalable, Cloud Native Full Stack application using the technologies learned in previous courses
You will publish these projects through your GitHub repository to share your skills with your peers and prospective employers.
| 42K | Beginner | Professional Certificate | 3 - 6 Months |
16 | Introduction to Data Science | IBM | Data Science, Python Programming, Data Analysis, Data Management, R Programming, Computer Programming, Data Mining, Data Structures, Database Administration, Database Application, Database Theory, Databases, SQL, Data Model, Machine Learning, Statistical Machine Learning, Big Data, Cloud Computing, Deep Learning, IBM Cloud, Regression, Writing | 4.6 | https://www.coursera.org/specializations/introduction-data-science | 104,084 | Start your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course! You will be introduced to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in the ecosystem.
You will begin this course by understanding what is data engineering as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in this exciting field. Next you will learn about the data engineering ecosystem, the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks.
You will become familiar with the components of a data platform and gain an understanding of several different types of data repositories such as Relational (RDBMS) and NoSQL databases, Data Warehouses, Data Marts, Data Lakes and Data Lakehouses. You’ll then learn about Big Data processing tools like Apache Hadoop and Spark. You will also become familiar with ETL, ELT, Data Pipelines and Data Integration.
This course provides you with an understanding of a typical Data Engineering lifecycle which includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. You will also learn about security, governance, and compliance.
You will learn about career opportunities in the field of Data Engineering and the different paths that you can take for getting skilled as a Data Engineer. You will hear from several experienced Data Engineers, sharing their insights and advice.
By the end of this course, you will also have completed several hands-on labs and worked with a relational database, loaded data into the database, and performed some basic querying operations.
| 86K | Beginner | Specialization | 3 - 6 Months |
17 | Data Science Fundamentals with Python and SQL | IBM | Python Programming, Data Analysis, General Statistics, Probability & Statistics, Basic Descriptive Statistics, Statistical Analysis, Statistical Tests, Mathematical Theory & Analysis, Statistical Programming, Computer Programming, Data Visualization, Data Science, Plot (Graphics), R Programming, Data Management, Data Structures, Database Administration, Database Application, Database Theory, Databases, SQL, Cloud Computing, IBM Cloud | 4.6 | https://www.coursera.org/specializations/data-science-fundamentals-python-sql | 58,550 | The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.
Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data ScienceOpens in a new tab. You can apply to the degree program either before or after you begin the Specialization.
| 60K | Beginner | Specialization | 3 - 6 Months |
18 | IBM Data Engineering | IBM | Data Management, Databases, Database Administration, Extract, Transform, Load, Python Programming, Big Data, SQL, Apache, Database Design, Distributed Computing Architecture, Data Architecture, Database Application, NoSQL, Data Structures, Data Model, Data Warehousing, Cloud Computing, Database Theory, Data Engineering, Data Visualization, Computer Programming, IBM Cloud, Data Mining, Machine Learning, Cloud Applications, Data Analysis, Leadership and Management, Kubernetes, PostgreSQL, Devops Tools, Business Intelligence, Data Visualization Software, Linux, Network Security, Statistical Programming, Data Science | 4.6 | https://www.coursera.org/professional-certificates/ibm-data-engineer | 7,979 | Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months.
Data engineering is building systems to gather data, process and organize raw data into usable information, and manage data. The work data engineers do provides the foundational information that data scientists and business intelligence (BI) analysts use to make recommendations and decisions.
This program will teach you the foundational data engineering skills employers are seeking for entry level data engineering roles, including Python, one of the most widely used programming languages. You’ll also master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data, and Spark with hands-on labs and projects.
You’ll learn to use Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You’ll also work with Relational Databases (RDBMS) and query data using SQL statements and use NoSQL databases as well as unstructured data.
When you complete the full program, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support.
This program is ACE® recommended—when you complete, you can earn up to 12 college credits.
Applied Learning Project
Throughout this Professional Certificate, you will complete hands-on labs and projects to help you gain practical experience with Python, SQL, relational databases, NoSQL databases, Apache Spark, building data pipelines, managing databases, and working with data warehouses.
Projects:
Design a relational database to help a coffee franchise improve operations.
Use SQL to query census, crime, and school demographic data sets.
Write a Bash shell script on Linux that backups changed files.
Set up, test, and optimize a data platform that contains MySQL, PostgreSQL, and IBM Db2 databases.
Analyze road traffic data to perform ETL and create a pipeline using Airflow and Kafka.
Design and implement a data warehouse for a solid-waste management company.
Move, query, and analyze data in MongoDB, Cassandra, and Cloudant NoSQL databases.
Train a machine learning model by creating an Apache Spark application.
Design, deploy, and manage an end-to-end data engineering platform.
| 47K | Beginner | Professional Certificate | 3 - 6 Months |
19 | Key Technologies for Business | IBM | Algorithms, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Deep Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Cloud Computing, Data Science, Critical Thinking, Big Data, Data Analysis, Data Mining, Cloud Applications, Cloud Infrastructure, Cloud Platforms, Cloud Storage, DevOps, IBM Cloud, Regression, Writing | 4.7 | https://www.coursera.org/specializations/key-technologies-for-business | 32,301 | This Specialization is intended for the learner with no previous programming experience or the career changer transitioning to software development. JavaScript is generally the first programming language you will need to learn and this Specialization will help you practice and build your skills through a gentle progression of modules and courses.
Applied Learning Project
Learners will be able to follow along with the instructor and be able to apply and practice their learning through a series of low-stakes challenges and projects. Quizzes are the main assessment for this Specialization, along with Honor options in a couple of the courses.
| 83K | Beginner | Specialization | 1 - 3 Months |
20 | IBM & Darden Digital Strategy | University of Virginia Darden School Foundation | Business Analysis, Business Transformation, Strategy, Cloud Computing, Data Analysis, Strategy and Operations, Applied Machine Learning, Entrepreneurship, Leadership and Management, Algorithms, Artificial Neural Networks, Computer Vision, Deep Learning, Human Learning, Innovation, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Marketing, Sales, Data Visualization, Research and Design, Critical Thinking, Business Design, Business Development, Customer Analysis, Product Strategy, Market Analysis, Data Management, Data Mining, Databases, Python Programming, SQL, Cloud Applications, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Data Science, DevOps, IBM Cloud, NoSQL, R Programming, Microsoft Excel | 4.7 | https://www.coursera.org/specializations/digital-strategy | 4,285 | This Specialization was designed to combine the most current business research in digital transformation and strategy with the most up-to-date technical knowledge of the technologies that are changing how we work and do business to enable you to advance your career. By the end of this Specialization, you will have an understanding of the three technologies impacting all businesses: artificial intelligence, cloud computing, and data science. You will also be able to develop or advance a digital transformation strategy for your own business using these technologies. This specialization will help managers understand technology and technical workers to understand strategy, and is ideal for anyone who wants to be able to help lead projects in digital transformation and technical and business strategy.
Applied Learning Project
This Specialization was designed to combine the most current business research in digital transformation and strategy with the most up-to-date technical knowledge of the technologies that are changing how we work and do business to enable you to advance your career. By the end of this Specialization, you will have an understanding of the three technologies impacting all businesses: artificial intelligence, cloud computing, and data science. You will also be able to develop or advance a digital transformation strategy for your own business using these technologies. This specialization will help managers understand technology and technical workers to understand strategy, and is ideal for anyone who wants to be able to help lead projects in digital transformation and technical and business strategy.
| 30K | Beginner | Specialization | 3 - 6 Months |
21 | Deep Learning | DeepLearning.AI | Machine Learning, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning Software, Network Model, Algorithms, Computer Programming, Computer Vision, Network Architecture, Natural Language Processing, Tensorflow, Human Learning, Data Analysis, Data Model, Exploratory Data Analysis, Organizational Development, Process Analysis, Strategy, Computational Logic, Mathematics, Mathematical Theory & Analysis, Linear Algebra, Regression, Calculus | 4.8 | https://www.coursera.org/specializations/deep-learning | 383,947 | Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts and Data Engineers. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases.
In this course you will learn SQL inside out- from the very basics of Select statements to
advanced concepts like JOINs.
You will:
-write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE
-filter result sets, use WHERE, COUNT, DISTINCT, and LIMIT clauses
-differentiate between DML & DDL
-CREATE, ALTER, DROP and load tables
-use string patterns and ranges; ORDER and GROUP result sets, and built-in database functions
-build sub-queries and query data from multiple tables
-access databases as a data scientist using Jupyter notebooks with SQL and Python
-work with advanced concepts like Stored Procedures, Views, ACID Transactions, Inner & Outer JOINs through hands-on labs and projects
You will practice building SQL queries, work with real databases on the Cloud, and use real data science tools.
In the final project you’ll analyze multiple real-world datasets to demonstrate your skills.
| 142K | Intermediate | Specialization | 3 - 6 Months |
22 | Data Engineering Foundations | IBM | Data Management, Python Programming, Data Structures, Databases, Data Engineering, Database Application, SQL, Database Administration, Database Design, Extract, Transform, Load, Computer Programming, Data Architecture, Database Theory, Data Mining, Data Model, Data Analysis, Leadership and Management, Data Warehousing, PostgreSQL, Big Data, IBM Cloud, Network Security, NoSQL, Cloud Computing, Data Science | 4.6 | https://www.coursera.org/specializations/data-engineering-foundations | 22,831 | In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.
Applied Learning Project
You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.
| 46K | Beginner | Specialization | 3 - 6 Months |
23 | Applied Data Science | IBM | Python Programming, Data Analysis, Machine Learning, Algorithms, Computer Programming, Data Science, Data Visualization, Exploratory Data Analysis, General Statistics, Machine Learning Algorithms, Plot (Graphics), Probability & Statistics, Regression, Statistical Programming | 4.6 | https://www.coursera.org/specializations/applied-data-science | 8,745 | If you’re reading this, you’re likely interested in exploring applied computational fluid dynamics (CFD) using the Simcenter STAR-CCM+ software or another CFD tool. This course can be a first step in improving your job performance and furthering your career or educational trajectory.
We’ve created this course to help you use the knowledge of flow physics and computational fluid dynamics to obtain quality solutions of flow and heat transfer problems most efficiently. This course is not about instructions on how to use a particular software. Simcenter STAR-CCM+ was used exclusively for all simulations presented in this course. Still, the learning outcomes would be the same if another public or commercial software were used, as long as it has the same capabilities.
| 49K | Beginner | Specialization | 3 - 6 Months |
24 | IBM Back-End Development | IBM | Application Development, Software Engineering, Python Programming, Computer Programming, Software Architecture, DevOps, Software Engineering Tools, Cloud Applications, Cloud Computing, Security Engineering, Programming Principles, Web Development, Cloud Infrastructure, Cloud-Based Integration, Microarchitecture, Agile Software Development, Communication, IBM Cloud, Kubernetes, Software Security, Data Management, Database Application, Databases, Docker (Software), Linux, SQL, Software-Defined Networking, Technical Product Management, Collaboration, Django (Web Framework), Leadership and Management, Data Analysis, Mergers & Acquisitions | 4.6 | https://www.coursera.org/professional-certificates/ibm-backend-development | 1,837 | Prepare for a career in the high-growth field of software development. In this program, you’ll develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry level back-end developer in as little as 6 months.
Back-end developers are the experts who build and maintain the mechanisms that process data and perform actions behind websites, and the demand for these professionals has never been greater.
You’ll learn the latest tools and technologies used by professional back-end developers, including Linux scripting, Git and GitHub, Python, SQL, Databases, Django, Containers with Docker, Kubernetes, and OpenShift, Microservices, Serverless, as well as Application Security, and Monitoring. You will practice working hands-on with these technologies to build the type of server-side systems and services that power modern web and mobile applications.
Upon completing the full program, you will have built a portfolio of projects to provide you with the confidence to excel in your interviews and you’ll receive a Professional Certificate from IBM to showcase your proficiency to potential employers.
You will also receive access to join IBM’s Talent Network where you’ll receive job opportunities as soon as they are posted, recommendations matched to your skills and interests, and tips and tricks to help you stand apart from the crowd.
Applied Learning Project
Throughout the professional certificate, there are ample opportunities to apply skills learned through labs and projects. Projects include:
Developing shell scripts for repetitive tasks like backing up files
Creating and sharing open-source projects on GitHub
Developing a Python application with endpoints that translate between English to French
Refining code and hosting an application using IBM Cloud and Cloud Foundry while enabling CI/CD to ensure changes are automatically deployed
Adding a feature to an online course by leveraging Django full-stack skills
Building and deploying a guestbook that rolls out updates using Openshift image streams and a multi-tier versioning of the guestbook
Developing a back-end application that displays song lyrics, band photos, and sells concert tickets by creating and integrating a Mongo database, a Flask service, and a Django application
Identifying and analyzing a software engineering job posting
| 37K | Beginner | Professional Certificate | 3 - 6 Months |
25 | IBM AI Foundations for Business | IBM | Machine Learning, Data Analysis, Applied Machine Learning, Data Management, Leadership and Management, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Business Process Management, Computer Vision, Data Architecture, Deep Learning, Human Learning, Machine Learning Software, Data Science, Strategy and Operations, Critical Thinking, Business Analysis, Business Transformation, Strategy, Big Data, Data Mining, Innovation, Regression, Writing | 4.7 | https://www.coursera.org/specializations/ibm-ai-foundations-for-business | 12,897 | This specialization will explain and describe the overall focus areas for business leaders considering AI-based solutions for business challenges. The first course provides a business-oriented summary of technologies and basic concepts in AI. The second will introduce the technologies and concepts in data science. The third introduces the AI Ladder, which is a framework for understanding the work and processes that are necessary for the successful deployment of AI-based solutions.
Applied Learning Project
Each of the courses in this specialization include Checks for Understanding, which are designed to assess each learner’s ability to understand the concepts presented as well as use those concepts in actual practice. Specifically, those concepts are related to introductory knowledge regarding 1) artificial intelligence; 2) data science, and; 3) the AI Ladder.
| 78K | Beginner | Specialization | 1 - 3 Months |
26 | IBM Data Analytics with Excel and R | IBM | Data Analysis, R Programming, Computer Programming, Data Visualization, Data Management, Statistical Programming, Databases, Plot (Graphics), Exploratory Data Analysis, Statistical Visualization, Data Analysis Software, Data Structures, Statistical Analysis, Microsoft Excel, SQL, Basic Descriptive Statistics, General Statistics, Interactive Data Visualization, Database Application, Extract, Transform, Load, Spreadsheet Software, Visualization (Computer Graphics), Programming Principles, Regression, Database Administration, Database Design, Database Theory, Computer Programming Tools, Data Mining, Data Visualization Software, Statistical Machine Learning, Visual Design, Probability & Statistics, System Programming, Business Analysis, Python Programming, Data Science, NoSQL | 4.7 | https://www.coursera.org/professional-certificates/ibm-data-analyst-r-excel | 18,769 | Prepare for the in-demand field of data analytics. In this program, you’ll learn high valued skills like Excel, Cognos Analytics, and R programming language to get job-ready in less than 3 months, with no prior experience or degree needed.
Data analytics is a strategy-based science where data is analyzed to find trends, answer questions, shape business processes, and aid decision-making. This Professional Certificate focuses on data analysis using Microsoft Excel and R programming language. If you’re interested in using Python, please explore the IBM Data Analyst PC.
This program will teach you the foundational data skills employers are seeking for entry level data analytics roles and will provide a portfolio of projects and a Professional Certificate from IBM to showcase your expertise to potential employers.
You’ll learn the latest skills and tools used by professional data analysts and upon successful completion of this program, you will be able to work with Excel spreadsheets, Jupyter Notebooks, and R Studio to analyze data and create visualizations. You will also use the R programming language to complete the entire data analysis process, including data preparation, statistical analysis, data visualization, predictive modeling and creating interactive dashboards. Lastly, you’ll learn how to communicate your data findings and prepare a summary report.
This program is ACE® recommended—when you complete, you can earn up to 15 college credits.
Applied Learning Project
You will complete hands-on labs to build your portfolio and gain practical experience with Excel, Cognos Analytics, SQL, and the R programing language and related libraries for data science, including Tidyverse, Tidymodels, R Shiny, ggplot2, Leaflet, and rvest.
Projects include:
Analyzing fleet vehicle inventory data using pivot tables.
Using key performance indicator (KPI) data from car sales to create an interactive dashboard.
Identifying patterns in countries’ COVID-19 testing data rates using R.
Using SQL with the RODBC R package to analyze foreign grain markets.
Creating linear and polynomial regression models and comparing them with weather station data to predict precipitation.
Using the R Shiny package to create a dashboard that examines trends in census data.
Using hypothesis testing and predictive modeling skills to build an interactive dashboard with the R Shiny package and a dynamic Leaflet map widget to investigate how weather affects bike-sharing demand.
| 20K | Beginner | Professional Certificate | 3 - 6 Months |
27 | Data Analysis and Visualization Foundations | IBM | Microsoft Excel, Data Visualization, Spreadsheet Software, Data Analysis, Plot (Graphics), Databases, Python Programming, SQL, Statistical Visualization, Business Analysis, Data Management, Data Mining, Data Science, Interactive Data Visualization, NoSQL, R Programming, Data Visualization Software | 4.7 | https://www.coursera.org/specializations/data-analysis-visualization-foundations | 184,475 | Cybersecurity affects everyone, including in the delivery of basic products and services. If you or your organization want to better understand how to address your cybersecurity, this is the course for you and your colleagues to take -- from seasoned professionals to your non-technical colleagues.
Your instructor, Dr. Charles Harry, has served on the front lines with the NSA (National Security Agency) and as an expert advising corporate and institutional leaders on managing cybersecurity risk. And he brings a rare and engaging perspective to help you learn cybersecurity from the ground up.
Cybersecurity for Everyone lays the groundwork to understand and explore the key issues facing policy makers attempting to manage the problem of cybersecurity, from its technical foundations to the domestic and international policy considerations surrounding governance, privacy, and risk management, to applications for achieving the goals of an enterprise, an institution, or a nation. This course is designed for students with some or no background in information technology, whether a novice or active in the cybersecurity field (engineers and computer scientists will learn the broader context and business aspects of cybersecurity), and will provide the principles to understand the current debates shaping a rapidly evolving security landscape.
| 20K | Beginner | Specialization | 3 - 6 Months |
28 | Applied Software Engineering Fundamentals | IBM | Python Programming, Computer Programming, Software Engineering, Application Development, Programming Principles, Software Architecture, Software Engineering Tools, Agile Software Development, Communication, Software-Defined Networking, Technical Product Management, Collaboration, Leadership and Management, Linux, Data Analysis, Mergers & Acquisitions | 4.6 | https://www.coursera.org/specializations/software-engineering-fundamentals | 3,076 | This Specialization is intended for anyone with a passion for learning who is seeking to develop the job-ready skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist.
Through these five online courses, you will develop the skills you need to bring together often disparate and disconnected data sources and use the R programming language to transform data into insights that help you and your stakeholders make more informed decisions.
By the end of this Specialization, you will be able to perform basic R programming tasks to complete the data analysis process, including data preparation, statistical analysis, and predictive modeling. You will also be able to create relational databases and query the data using SQL and R and communicate your data findings using data visualization techniques.
Applied Learning Project
Throughout this Specialization, you will complete hands-on labs to help you gain practical experience with various data sources, datasets, SQL, relational databases, and the R programing language. You will work with tools like R Studio, Jupyter Notebooks, and related R libraries for data science, including dplyr, Tidyverse, Tidymodels, R Shiny, ggplot2, Leaflet, and rvest.
In the final course in this Specialization, you will complete a capstone project that applies what you have learned to a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modelling to be performed on real-world datasets.
| 37K | Beginner | Specialization | 3 - 6 Months |
29 | Prompt Engineering | Vanderbilt University | Creativity, Data Analysis, Problem Solving, Writing | 4.8 | null | null | null | 2.1K | Beginner | Specialization | 1 - 3 Months |
30 | AI Foundations for Everyone | IBM | Human Learning, Machine Learning, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Human Computer Interaction, Natural Language Processing, Algorithms, Applied Machine Learning, Cloud Computing, Computer Vision, IBM Cloud, Machine Learning Software, Critical Thinking, Cloud API, Computer Programming, Data Science | 4.7 | https://www.coursera.org/specializations/ai-foundations-for-everyone | 20,717 | Artificial Intelligence (AI) is no longer science fiction. It is rapidly permeating all industries and having a profound impact on virtually every aspect of our existence. Whether you are an executive, a leader, an industry professional, a researcher, or a student - understanding AI, its impact and transformative potential for your organization and our society is of paramount importance.
This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills. It is designed to give you a firm understanding of what is AI, its applications and use cases across various industries. You will become acquainted with terms like Machine Learning, Deep Learning and Neural Networks.
Furthermore, it will familiarize you with IBM Watson AI services that enable any business to quickly and easily employ pre-built AI smarts to their products and solutions. You will also learn about creating intelligent virtual assistants and how they can be leveraged in different scenarios.
By the end of this specialization, learners will have had hands-on interactions with several AI environments and applications, and have built and deployed an AI enabled chatbot on a website – without any coding.
Applied Learning Project
Learners will perform several no-code hands-on exercises in each of the three courses. At the end of the last course, learners would have developed, tested, and deployed a Watson AI powered customer service chatbot on a website to delight their clients.
| 13K | Beginner | Specialization | 3 - 6 Months |
31 | Generative AI with Large Language Models | DeepLearning.AI | Machine Learning, Natural Language Processing, Python Programming | 4.8 | https://www.coursera.org/learn/generative-ai-with-llms | 38,552 | Instructed by AI pioneer Andrew Ng, Generative AI for Everyone offers his unique perspective on empowering you and your work with generative AI. Andrew will guide you through how generative AI works and what it can (and can’t) do. It includes hands-on exercises where you'll learn to use generative AI to help in day-to-day work and receive tips on effective prompt engineering, as well as learning how to go beyond prompting for more advanced uses of AI.
You’ll get insights into what generative AI can do, its potential, and its limitations. You’ll delve into real-world applications and learn common use cases. You’ll get hands-on time with generative AI projects to put your knowledge into action and gain insight into its impact on both business and society.
This course was created to ensure everyone can be a participant in our AI-powered future.
| 1.6K | Intermediate | Course | 1 - 4 Weeks |
32 | Cloud Application Development Foundations | IBM | Cloud Computing, Cloud Applications, IBM Cloud, Javascript, Cloud Infrastructure, Cloud Platforms, DevOps, Cloud Management, Computer Programming, Web Development, Cloud API, Cloud Storage, Continuous Integration, Software As A Service, Continuous Delivery, NoSQL, Computer Science, Front-End Web Development, React (web framework) | 4.6 | https://www.coursera.org/specializations/ibm-cloud-application-development-foundations | 6,028 | Applied Learning Project
| 6.6K | Beginner | Specialization | 3 - 6 Months |
33 | DevOps, Cloud, and Agile Foundations | IBM | DevOps, Cloud Computing, Software Engineering, Agile Software Development, Continuous Delivery, Continuous Integration, Scrum (Software Development), Cloud Applications, Cloud Infrastructure, Cloud Platforms, Cloud Storage, IBM Cloud, Leadership and Management | 4.7 | https://www.coursera.org/specializations/devops-cloud-and-agile-foundations | 130,698 | Design a User Experience for Social Good and Prepare for Jobs is the seventh and final course in a program that will equip you with the skills you need to become an entry-level UX designer. In this course, you will design a dedicated mobile app and a responsive website focused on social good. You will showcase all that you’ve learned during the certificate program to complete the design process from beginning to end: empathizing with users, defining their pain points, coming up with ideas for design solutions, creating wireframes and prototypes, and testing designs to get feedback. By the end of this course, you will have a new cross-platform design project to include in your professional UX portfolio.
This course will also prepare you to land your first job as a UX designer. You’ll learn how to interview for entry-level UX design positions. You’ll get tips from Googlers based on their own interview experiences and their unique perspectives as hiring managers. And, you’ll polish the professional UX portfolio you’ve been building throughout the program so that it’s ready for job applications.
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:
- Apply each step of the UX design process (empathize, define, ideate, prototype, test) to create designs focused on social good.
- Identify the differences between dedicated mobile apps and responsive web apps.
- Understand progressive enhancement and graceful degradation approaches for designing across devices.
- Build wireframes, mockups, and low-fidelity and high-fidelity prototypes.
- Add a new design project to your professional UX portfolio.
- Create your portfolio of design work for job applications.
- Join and participate in online UX communities.
- Interview for an entry-level UX design job.
- Determine if freelance design work is a good career fit for you.
This course is suitable for beginner-level UX designers who have completed the previous six courses of the Google UX Design Certificate.
| 8K | Beginner | Specialization | 3 - 6 Months |
34 | Google Advanced Data Analytics | Google | Communication, Computer Programming, Data Analysis, Data Visualization, Exploratory Data Analysis, General Statistics, Machine Learning, Planning, Probability Distribution, Project Management, Python Programming, Regression, Statistical Analysis, Tableau Software | 4.7 | https://www.coursera.org/professional-certificates/google-advanced-data-analytics | 5,764 | Are you passionate about helping people change their lives with skills and jobs so they can earn a good living and feel fulfilled by the work they do? Do you want a rewarding career that advances equity and helps strengthen communities? Explore a new career as a Career Coach or Navigator where you can help others develop the skills and confidence to pursue their next career move.
This, ICF accredited, Professional Certificate includes four beginner-level courses to help you build skills that prepare you for an entry-level job as a Career Coach or Navigator. You will learn from professionals who work as Career Coaches or Navigators and gain insights from the job seekers and career advancers they serve. Learners that complete all courses will be able to use these credits toward renewal requirements of an International Coaching Federation (ICF) credential.
By the end of the program, you will be able to:
Explain the foundational concepts of Career Coaching and Navigating.
Familiarize clients with the Career Coaching and Navigation experience.
Discover career possibilities for Career Navigators and Career Coaches.
Describe common Career Development theories, models, and tools.
Summarize Coaching Agreements and Career Service Plans.
Identify professional and ethical standards.
Describe human-centered approaches to Career Coaching and Navigating.
Applied Learning Project
This program includes more than 40 hours of instruction which includes scenario-based activities that will put you in the mindset of a career navigator and prepare you for real-life situations you will encounter on the job.
Through a mix of videos, assessments, readings and projects, you’ll be introduced to the human-centered approach to career coaching, intake and skills analysis, recruiting and outreach, goal setting, career navigation, interview and resume preparation, onboarding preparation and building community partnerships. These are foundational for an entry-level career coach or navigator job.
Your skills will include human-centered communication, conducting assessments, career planning, preparing clients for a new career, and more.
Learn the skills that will prepare you to step into a career coach or navigator role.
| 2.5K | Advanced | Professional Certificate | 3 - 6 Months |
35 | IBM and ISC2 Cybersecurity Specialist | Multiple educators | Computer Security Incident Management, Leadership and Management, Cloud Computing, System Security, Computer Networking, Risk Management, Cloud Storage, Operating Systems, Network Security, Cloud Platforms, Network Architecture, Networking Hardware, Cloud Applications, Cloud Infrastructure, Computer Programming, Cyberattacks, Databases, DevOps, Security Engineering, Cryptography, IBM Cloud, Operations Management, Software Engineering | 4.7 | null | null | null | 8.1K | Beginner | Professional Certificate | 3 - 6 Months |
36 | IBM IT Support | IBM | Customer Success, Cloud Computing, Computer Networking, Strategy and Operations, Operating Systems, Cloud Storage, Cloud Applications, Leadership and Management, System Security, Customer Support, Communication, Computer Programming, Cyberattacks, Cloud Infrastructure, Cloud Platforms, Databases, DevOps, Networking Hardware, Cryptography, IBM Cloud, Information Technology, Network Architecture, Network Security, Security Engineering, Software Engineering | 4.7 | https://www.coursera.org/professional-certificates/ibm-technical-support | null | Prepare for an in-demand career in Information Technology (IT). In this program, you’ll develop a strong foundation in IT fundamentals, networking, cybersecurity, and cloud computing to get job-ready in as little as 3 months, with no prior experience or degree needed to get started.
Almost every organization, business, or individual relies on technology. A career in IT Support is about providing technological assistance to better optimize organizational efficiency. This can include troubleshooting, setting up computers, setting up network & wifi, along with providing excellent customer service.
You’ll learn the latest skills and tools used by IT support professionals including hardware and software setup, technical support, customer service, ticketing systems, service level agreements, and troubleshooting. You’ll demonstrate your knowledge of networking, security, and cloud computing, and practice analyzing user help requests and troubleshooting various issues.
When you successfully complete the program, you’ll have a portfolio of projects to demonstrate your proficiency, a Professional Certificate from IBM to showcase your job readiness to potential employers, and you’ll receive exclusive access to career support resources to help you in your job search.
You’ll also be prepared to take the CompTIA ITF+ certification exams and receive a 30% discount voucher for the certification exams like A+.
Applied Learning Project
The IBM Technical Support Professional Certificate provides more than 70 hours of instructional videos and engaging hands-on interactive exercises, labs, projects and practice tests.
The skills you’ll gain through labs and projects include hardware & mobile device setup, software configuration, Windows/Linux usage, GUI & command line, troubleshooting procedures, IT helpdesk & ticketing systems, customer service & tech support best practices, network & wifi setup, cloud computing & cybersecurity fundamentals, and much more.
In the final capstone course, you will apply your knowledge and skills to real-world case studies, and upon completion, will be able to confidently demonstrate your IT support skills to prospective employers.
Course staff and teaching assistants are available throughout the program to support your success.
| 6.9K | Beginner | Professional Certificate | 3 - 6 Months |
37 | Business Intelligence (BI) Analyst | IBM | Data Management, Databases, SQL, Data Visualization, Database Administration, Database Application, Database Design, Microsoft Excel, Data Structures, Data Architecture, Database Theory, Spreadsheet Software, Data Model, Data Warehousing, Python Programming, Computer Programming, Data Analysis, NoSQL, PostgreSQL, Professional Development, Plot (Graphics), Business Analysis, Statistical Visualization, Data Mining, Data Science, Data Visualization Software, R Programming, Business Intelligence, Forecasting, Interactive Data Visualization, Statistical Analysis | 4.7 | null | null | null | 9.6K | Beginner | Professional Certificate | 3 - 6 Months |
38 | Meta Front-End Developer | Meta | HTML and CSS, Javascript, Front-End Web Development, React (web framework), Web Development, User Experience, Algorithms, Computer Science, Web Design, Application Development, Computer Programming, Software Engineering, Web Development Tools, Collaboration, Communication, Data Structures, Human Computer Interaction, Interactive Design, Linux, Problem Solving, Product Design, Software Engineering Tools, Software Testing | 4.7 | https://www.coursera.org/professional-certificates/meta-front-end-developer | 210,765 | Want to get started in the world of coding and build websites as a career? This certificate, designed by the software engineering experts at Meta—the creators of Facebook and Instagram, will prepare you for a career as a front-end developer.
In this program, you’ll learn:
How to code and build interactive web pages using HTML5, CSS and JavaScript.
In-demand design skills to create professional page layouts using industry-standard tools such as Bootstrap, React, and Figma.
GitHub repositories for version control, content management system (CMS) and how to edit images using Figma.
How to prepare for technical interviews for front-end developer roles.
By the end, you’ll put your new skills to work by completing a real-world project where you’ll create your own front-end web application. Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property.
Applied Learning Project
Throughout the program, you’ll engage in hands-on activities that offer opportunities to practice and implement what you are learning. You’ll complete hands-on projects that you can showcase during job interviews and on relevant social networks.
At the end of each course, you’ll complete a project to test your new skills and ensure you understand the criteria before moving on to the next course. There are 9 projects in which you’ll use a lab environment or a web application to perform tasks such as:
Edit your Bio page—using your skills in HTML5, CSS and UI frameworks
Manage a project in GitHub—using version control in Git, Git repositories and the Linux Terminal
Build a static version of an application—you’ll apply your understanding of React, frameworks, routing, hooks, bundlers and data fetching.
At the end of the program, there will be a Capstone project where you will bring your new skillset together to create the front-end web application.
| 16K | Beginner | Professional Certificate | 3 - 6 Months |
39 | Generative AI Fundamentals | IBM | Machine Learning, Natural Language Processing | 4.7 | null | null | null | 116 | Beginner | Specialization | 3 - 6 Months |
40 | Information Technology (IT) and Cloud Fundamentals | IBM | Cloud Computing, Computer Networking, Operating Systems, Cloud Storage, System Security, Cloud Applications, Cyberattacks, Cloud Infrastructure, Cloud Platforms, Databases, DevOps, Networking Hardware, Computer Programming, Cryptography, IBM Cloud, Network Architecture, Network Security, Security Engineering, Software Engineering | 4.7 | https://www.coursera.org/specializations/it-cloud-fundamentals | null | In today’s connected world, core knowledge of IT hardware, software, networking, cybersecurity, and cloud technologies is vital for almost every function, or role within an organization. Adding storage, updating an operating system, connecting to a network, recognizing phishing, and setting up Cloud instances are some of the skills employees need or need help with.
This five-course specialization provides prerequisite skills for almost all IT careers, including technical support specialist, data analyst, data scientist, AI specialist, web developer, software engineer, systems administrator, DevOps and site reliability engineer, data center technician, networking specialist, IT Manager, and cyber-security analyst.
You’ll acquire hardware, operating systems, programming, database, networking, storage, cybersecurity, and cloud computing knowledge and skills that can prepare you for an entry-level IT role or better help you understand and manage IT responsibilities within your organization.
In addition to receiving an IBM credential upon successful completion of this specialization, it provides a dual benefit of preparing you for the CompTIA IT Fundamentals (IFT+) Certification Exam, which can attest to your skills, helping you gain a competitive advantage.
This program is for beginners. To start this program, no prior IT background, programming experience, or cloud skills are required. All that's necessary is basic computer literacy.
Applied Learning Project
These course assignments are designed for beginners and provide you with core skills from each course.
You will use interactive activities and reference materials to identify computer hardware, connectors, and peripherals and to recall steps related to work station setup, operating system installation, and configuration of frequently adjusted operating system settings. In hands-on labs, you’ll use Python to acquire real-world, in-demand, fundamental programming skills and learn how to perform basic database operations using MySQL. In additional online labs, you’ll use the IBM Cloud platform and other interactive techniques towith user-facing software, back-end applications, introductory networking concepts, security practices, and cloud computing types and services.
| 6.4K | Beginner | Specialization | 3 - 6 Months |
41 | Microsoft Power BI Data Analyst | Microsoft | Data Analysis, Data Management, Data Mining, Data Model, Data Visualization, Extract, Transform, Load, Microsoft Excel, Power BI, SQL | 4.6 | https://www.coursera.org/professional-certificates/microsoft-power-bi-data-analyst | 37,537 | Learners who complete this program will receive a 50% discount voucher to take the PL-300 Certification Exam.
Business Intelligence analysts are highly sought after as more organizations rely on data-driven decision-making. Microsoft Power BI is the leading data analytics, business intelligence, and reporting tool in the field, used by 97% of Fortune 500 companies to make decisions based on data-driven insights and analytics.1 Prepare for a new career in this high-growth field with professional training from Microsoft — an industry-recognized leader in data analytics and business intelligence.
Through a mix of videos, assessments, and hands-on activities, you will engage with the key concepts of Power BI, transforming data into meaningful insights and creating compelling reports and dashboards. You will learn to prepare data in Excel for analysis in Power BI, form data models using the Star schema, perform calculations in DAX, and more.
In your final project, you will showcase your new Power BI and data analysis skills using a real-world scenario. When you complete this Professional Certificate, you’ll have tangible examples to talk about in your job interviews and you’ll also be prepared to take the industry-recognized PL-300: Microsoft Power BI Data Analyst certification exam.
1Microsoft named a Leader in the 2023 Gartner® Magic Quadrant™ for Analytics and BI Platforms (April 2023)
Applied Learning Project
This program has been uniquely mapped to key job skills required in a Power BI data analyst role. In each course, you’ll be able to consolidate what you have learned by completing a project that simulates a real-world data analysis scenario using Power BI. You’ll also complete a final capstone project where you’ll showcase all your new Power BI data analytical skills.
The projects will include:
● A real-world scenario where you connect to data sources and transform data into an optimized data model for data analysis.
● A real-world scenario where you demonstrate data storytelling through dashboards, reports and charts to solve business challenges and identify new opportunities.
A real-world capstone project where you analyze the performance of a multinational business and prepare executive dashboards and reports.
To round off your learning, you’ll take a mock exam that has been set up in a similar style to the industry-recognized Exam PL-300: Microsoft Power BI Data Analyst.
| 1.4K | Beginner | Professional Certificate | 3 - 6 Months |
42 | Generative AI for Everyone | DeepLearning.AI | Strategy, Writing | 4.9 | https://www.coursera.org/learn/generative-ai-for-everyone | 2,202 | ChatGPT and other large language models are going to be more important in your life and business than your smartphone, if you use them right. ChatGPT can tutor your child in math, generate a meal plan and recipes, write software applications for your business, help you improve your personal cybersecurity, and that is just in the first hour that you use it.
The course will give you a primer that covers what Generative AI is, basic prompt engineering, and how you can innovate with Generative AI. You will learn the ACHIEVE framework for using Generative AI to innovate in a way that augments and amplifies human creativity and problem solving rather than supplanting people. You will learn how Generative AI is going to replace the GUI and programming as our dominant interface to computing and why you will be using it every day at work.
| 528 | Beginner | Course | 1 - 4 Weeks |
43 | IBM AI Engineering | IBM | Machine Learning, Deep Learning, Artificial Neural Networks, Human Learning, Python Programming, Machine Learning Algorithms, Applied Machine Learning, Algorithms, Machine Learning Software, Regression, Network Model, Statistical Machine Learning, Computer Vision, Apache, Big Data, Computer Programming, Data Analysis, Network Architecture, Extract, Transform, Load, Data Visualization, Tensorflow, Visualization (Computer Graphics), Dimensionality Reduction, Natural Language Processing, Data Science | 4.6 | https://www.coursera.org/professional-certificates/ai-engineer | 38,723 | Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses. This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer.
You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers.
Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders.
In addition to earning a Professional Certificate from Coursera, you will also receive a digital badge from IBM recognizing your proficiency in AI engineering.
Applied Learning Project
Throughout the program, you will build a portfolio of projects demonstrating your mastery of course topics. The hands-on projects will give you a practical working knowledge of Machine Learning libraries and Deep Learning frameworks such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow. You will also complete an in-depth Capstone Project, where you’ll apply your AI and Neural Network skills to a real-world challenge and demonstrate your ability to communicate project outcomes.
| 18K | Intermediate | Professional Certificate | 3 - 6 Months |
44 | IBM IT Project Manager | IBM | Software Engineering, Agile Software Development, Computer Programming, Software Engineering Tools, Application Development, Programming Principles, Software Architecture, Communication, Cloud Applications, Scrum (Software Development), Software-Defined Networking, Technical Product Management, Leadership and Management, Project Management, Cloud Computing, IBM Cloud, Information Technology, Operating Systems, Python Programming, Risk Management | 4.8 | https://www.coursera.org/professional-certificates/ibm-it-project-manager | 9,049 | Prepare for a career in the high-growth field of IT project management. In this program, you’ll develop the skills and tools to have a competitive edge in the job market as an entry-level IT project manager in less than 3 months. No prior knowledge or experience is required.
IT project managers track projects, manage risks, and work cross-functionally to support an organization’s IT infrastructure and software development. IT project managers often act as a liaison between the business and technical functions to drive high-impact projects to a successful completion.
You’ll learn in-demand skills used by professional IT project managers including planning and managing projects, effective communication and leadership methods, agile methodologies, and gain a deep understanding of the concepts, tools, and language of project management. Alongside these crucial skills, you’ll receive foundational technical training in hardware, operating systems, software, cybersecurity, and cloud computing. In addition, you will be trained in software engineering fundamentals, Software Development Lifecycle (SDLC), software development tools, technologies, and stacks to set you up for success as an IT project manager.
Upon completing the full program, you’ll gain access to career support resources to help you in your job search and you’ll earn a Professional Certificate from IBM to showcase your proficiency to potential employers.
Applied Learning Project
Throughout the IT Project Management Professional Certificate, we take the theory behind project management and apply it to real-world scenarios. This program consists of ample instructional content as well as hands-on exercises and real-world projects designed to hone your skills.
In each course, there will be exercises to practice what you have learned. From building a timeline, tracking issues, or setting up a communications plan, we’ll provide realistic scenarios you might encounter in your future work as an IT project manager. The last course in the series is the Capstone course, designed for learners who have completed all the courses in the program. It gives the learner a chance to demonstrate their end-to-end knowledge of project management.
By completing the program and the capstone, learners will be well-prepared to show off their skills in interviews and get job-ready as an entry-level IT project manager.
| 2.7K | Beginner | Professional Certificate | 3 - 6 Months |
45 | IBM Data Warehouse Engineer | IBM | Data Management, Database Administration, Databases, SQL, Database Application, Extract, Transform, Load, Data Warehousing, Data Structures, Database Design, Data Engineering, Computer Programming, Data Analysis, Data Architecture, Database Theory, Apache, Python Programming, Leadership and Management, Professional Development, Big Data, Data Model, Distributed Computing Architecture, Business Analysis, PostgreSQL, Devops Tools, Cloud Computing, Linux, IBM Cloud, Network Security, NoSQL, Business Intelligence, Data Science | 4.7 | https://www.coursera.org/professional-certificates/data-warehouse-engineering | 4,055 | Prepare for a career in the field of data warehousing. In this program, you’ll learn in-demand skills like SQL, Linux, and database architecture to get job-ready in less than 3 months.
Data warehouse engineers design and build large databases called data warehouses, used for data and business analytics. They work closely with data analysts, data scientists, and project management to power analysis that enable insights and inform decision-making.
This program will teach you the foundational data warehousing skills employers are seeking for entry level data warehouse roles. This program will not only help you start your career in data warehousing, but also provides a strong foundation for future career development in other paths such as Business Intelligence (BI) roles.
You’ll learn the latest tools used by professional data warehouse engineers including Relational Database Management Systems (RDBMS), PostgreSql, and MySQL. Alongside these tools, learn how to use Linux/UNIX shell scripts to automate repetitive tasks and build data pipelines and Extract, Transform and Load (ETL) data. You’ll also work with data warehouses and query them using SQL and BI tools.
When you complete the full program, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support.
Applied Learning Project
Each course includes numerous hands-on labs and a project to hone and apply the concepts and skills you learn. By the end of the program, you will have designed, implemented, configured, queried, and maintained numerous databases and created data pipelines using real-world tools and data repositories to build a portfolio of job-ready skills.
You will start by provisioning a database instance on Cloud. Next, you will design databases using Entity-Relationship Diagrams (ERD) and create database objects like tables and keys using MySQL, PostgreSQL and IBM Db2.
You will then become proficient with querying databases with SQL using SELECT, INSERT, UPDATE and DELETE statements, and learn to filter, sort & aggregate result sets. Next, you will become familiar with common Linux/Unix shell commands and use them to build Bash scripts.
You will create Data Pipelines for batch and streaming ETL jobs using Apache Airflow and Kafka. Finally, implement data warehouses & create BI dashboards.
| 3.8K | Beginner | Professional Certificate | 3 - 6 Months |
46 | Generative AI for Software Developers | IBM | Natural Language Processing, Software Engineering | 4.7 | null | null | null | 106 | Intermediate | Specialization | 1 - 3 Months |
47 | Generative AI for Data Scientists | IBM | Data Analysis, Data Science, Natural Language Processing | 4.7 | null | null | null | 106 | Intermediate | Specialization | 1 - 3 Months |
48 | Foundations of Cybersecurity | Google | Linux, Computer Programming, Leadership and Management, SQL | 4.9 | https://www.coursera.org/learn/foundations-of-cybersecurity | 132,355 | Develop your ability to think strategically, analyze the competitive environment, and recommend firm positioning and value creation. In this course, developed at the Darden School of Business at the University of Virginia, top-ranked faculty will help you explore the underlying theory and frameworks that provide the foundations of a successful business strategy and provide the tools you need to understand that strategy: SWOT, Competitor, Environmental, Five Forces, and Capabilities Analyses, as well as Strategy Maps.
| 14K | Beginner | Course | 1 - 4 Weeks |
49 | Foundations of Project Management | Google | Project Management, Strategy and Operations, Business Communication, Change Management, Organizational Development, Communication, Culture, Emotional Intelligence, Influencing, Leadership and Management, People Management, Planning | 4.9 | https://www.coursera.org/learn/project-management-foundations | 63,204 | The University of Pennsylvania and Dr. Martin E.P. Seligman welcome you to Foundations of Positive Psychology. Our five-course specialization provides you with the key theories and research in the field of positive psychology as well as opportunities for application.
Course topics include
• Positive Psychology: Martin E.P. Seligman’s Visionary Science with Dr. Martin E.P. Seligman
• Positive Psychology: Applications and Interventions with Dr. James Pawelski
• Positive Psychology: Character, Grit and Research Methods with Dr. Angela Duckworth & Dr. Claire Robertson-Kraft
• Positive Psychology: Resilience Skills with Dr. Karen Reivich
• Positive Psychology Specialization Project with Dr. Martin E.P. Seligman
Applied Learning Project
Learners design and justify small-scale positive interventions to enhance specific aspects of their personal wellbeing based on the skills acquired in each course of the specialization. Personal reflections are implemented provide learners with the skills to impact their personal and professional lives.
After completing all five courses, learners earn a certificate signed by Dr. Martin E.P. Seligman, Dr. James Pawelski, Dr. Angela Duckworth, Dr. Claire Robertson-Kraft and Dr. Karen Reivich.
| 75K | Beginner | Course | 1 - 4 Weeks |
50 | Supervised Machine Learning: Regression and Classification | DeepLearning.AI | Machine Learning, Machine Learning Algorithms, Regression, Applied Machine Learning, Algorithms, Statistical Machine Learning, Mathematics, Critical Thinking, Machine Learning Software, Python Programming | 4.9 | https://www.coursera.org/learn/machine-learning | 468,943 | In the first course of the Machine Learning Specialization, you will:
• Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn.
• Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression
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.
| 16K | Beginner | Course | 1 - 4 Weeks |
51 | BI Foundations with SQL, ETL and Data Warehousing | IBM | Data Management, Extract, Transform, Load, Data Warehousing, Database Administration, Apache, Computer Programming, Python Programming, Data Analysis, Data Structures, Databases, Big Data, Database Application, Distributed Computing Architecture, Cloud Computing, Database Theory, Devops Tools, Leadership and Management, Linux, SQL, Business Intelligence, IBM Cloud | 4.6 | https://www.coursera.org/specializations/bi-foundations-sql-etl-data-warehouse | 56,137 | This is the seventh 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 sixth Google Cybersecurity Certificate course.
In this course, you will be introduced to the Python programming language and apply it in a cybersecurity setting to automate tasks. You'll start by focusing on foundational Python programming concepts, including data types, variables, conditional statements, and iterative statements. You'll also learn to work with Python effectively by developing functions, using libraries and modules, and making your code readable. In addition, you'll work with string and list data, and learn how to import, parse and debug files.
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 how the Python programming language is used in cybersecurity.
- Write conditional and iterative statements in Python.
- Create new, user-defined Python functions.
- Use Python to work with strings and lists.
- Use regular expressions to extract information from text.
- Use Python to open and read the contents of a file.
- Identify best practices to improve code readability.
- Practice debugging code.
| 20K | Beginner | Specialization | 3 - 6 Months |
52 | Foundations: Data, Data, Everywhere | Google | Data Analysis, SQL, Data Visualization, Business Analysis, Spreadsheet Software, Data Science, Databases, Microsoft Excel | 4.8 | https://www.coursera.org/learn/foundations-data | 1,077,990 | Foundations of User Experience (UX) Design is the first of a series of seven courses that will equip you with the skills needed to apply to entry-level jobs in user experience design. UX designers focus on the interactions that people have with products like websites, mobile apps, and physical objects. UX designers make those everyday interactions usable, enjoyable, and accessible. The role of an entry-level UX designer might include empathizing with users, defining their pain points, coming up with ideas for design solutions, creating wireframes, prototypes, and mockups, and testing designs to get feedback.
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:
- Define the field of UX and explain why it’s important for consumers and businesses.
- Understand foundational concepts in UX design, such as user-centered design, the design thinking framework, accessibility, and equity-focused design.
- Identify the factors that contribute to great user experience design.
- Review common job responsibilities of entry-level UX designers and teams that they work with.
- Explore job opportunities and career paths within the field of user experience.
- Explain why design sprints are an important and useful part of a UX designer’s work.
- Describe common UX research methods.
- Identify and account for biases in UX research.
| 96K | Beginner | Course | 1 - 3 Months |
53 | Mathematics for Machine Learning and Data Science | DeepLearning.AI | Mathematics, Algebra, Linear Algebra, Machine Learning, Machine Learning Algorithms, Calculus, Differential Equations, Regression, Artificial Neural Networks, Mathematical Theory & Analysis, Python Programming, Algorithms, Critical Thinking, Dimensionality Reduction, General Statistics, Probability & Statistics, Statistical Analysis | 4.6 | https://www.coursera.org/specializations/mathematics-for-machine-learning-and-data-science | 46,591 | Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly Specialization 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.
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 to demonstrate learning objectives in the environment where they’re most applicable to machine learning and data science.
Applied Learning Project
By the end of this Specialization, you will be ready to:
Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence
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
Optimize different types of functions commonly used in machine learning
Perform gradient descent in neural networks with different activation and cost functions
Describe and quantify the uncertainty inherent in predictions made by machine learning models
Understand the properties of commonly used probability distributions in machine learning and data science
Apply common statistical methods like MLE and MAP
Assess the performance of machine learning models using interval estimates and margin of errors
Apply concepts of statistical hypothesis testing
| 1.4K | Beginner | Specialization | 1 - 3 Months |
54 | IBM Full-Stack JavaScript Developer | IBM | Software Engineering, Computer Programming, Software Architecture, Application Development, Software Engineering Tools, Cloud Applications, Cloud Computing, Communication, DevOps, Programming Principles, Web Development, Agile Software Development, Cloud Infrastructure, Cloud-Based Integration, IBM Cloud, Kubernetes, Microarchitecture, Javascript, Continuous Delivery, Docker (Software), Front-End Web Development, Leadership and Management, Software-Defined Networking, Technical Product Management, Collaboration, Continuous Integration, Computer Science, Mergers & Acquisitions, NoSQL, Python Programming, React (web framework) | 4.5 | null | null | null | 2.6K | Beginner | Professional Certificate | 3 - 6 Months |
55 | Business Foundations | University of Pennsylvania | Accounting, Finance, General Accounting, Financial Accounting, Strategy and Operations, Account Management, Accounts Payable and Receivable, Cost Accounting, Leadership and Management, Strategy, Cash Management, Communication, Financial Analysis, Generally Accepted Accounting Principles (GAAP), Marketing, Brand Management, Budget Management, Customer Analysis, Market Analysis, Marketing Design, Product Marketing, Product Strategy, Entrepreneurship, Human Resources, People Analysis, Performance Management, Business Analysis, Digital Marketing, Estimation, Mathematical Theory & Analysis, Change Management, Organizational Development, People Management, Talent Management, Planning, Operations Management | 4.7 | https://www.coursera.org/specializations/wharton-business-foundations | 2,166 | In a world driven by big data, it is crucial to understand how valuable information can be extracted from large volumes of data. Further, it is pivotal to utilize information to its full potential. This not only requires one to extract value from data but also to effectively communicate the information obtained. The Business Data Management and Communication Specialization is tailored to deliver a well-balanced curriculum that focuses on all three aspects - Understanding Data, Extracting Valuable Information, and Effective Communication. The courses in this Specialization will focus on advanced accounting, working with big data, communicating data and information analysis.
Topics covered include:
Understand the basics of how to analyze balance sheet and cash flow statements
Understand how accrual accounting and fundamental accounting concepts work
Learn how to collect, analyze, and visualize data and use the same in decision making processes
Learn how to use R to communicate data analytics results
Explore various ways that information can generate economic value
Understand how crucial information is and learn how to gauge the potential of valuable information
Applied Learning Project
The core concept based on which the specialization is structured is that data and information, when utilized effectively, can provide significant economic benefits. Getting from raw data to valuable information involves a plethora of analytical processes and understanding of the underlying data. Each course in the specialization will provide an in-depth application and data analysis exercise.
| 24K | Beginner | Specialization | 3 - 6 Months |
56 | Google IT Automation with Python | Google | Cloud Computing, Cloud Platforms, Collaboration, Computer Programming, Data Structures, Google Cloud Platform, Leadership and Management, Problem Solving, Python Programming | 4.7 | https://www.coursera.org/professional-certificates/google-it-automation | 472,123 | Prepare for a new career in the high-growth fields of digital marketing and e-commerce, in under six months, no experience or degree required. Businesses need digital marketing and e-commerce talent more than ever before; 86% of business leaders Opens in a new tabreport that digital commerce will be the most important route to growth. There are over 213,000 open jobs in digital marketing and e-commerce with a median entry-level salary of $59,000.¹
Throughout this program, you will gain in-demand skills that prepare you for an entry-level job and learn how to use tools and platforms like Canva, Constant Contact, Google Ads, Google Analytics, Hootsuite, HubSpot, Mailchimp, Shopify, and Twitter. You will learn from subject-matter experts at Google and have a chance to build your own portfolio with projects like customer personas and social media calendars to show to potential employers.
75% of certificate graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion²
Check out all Google Career Certificates hereOpens in a new tab.
This program contains no confidential information. All Google Search features taught are publicly available, you can learn more in official Google Search documentationOpens in a new tab.
¹Lightcast™ US Job Postings (2022: Jan. 1, 2022 - Dec. 31, 2022).
²Based on program graduate survey, United States 2022
Applied Learning Project
This program includes over 190 hours of instruction and practice-based assessments, which simulate real-world digital marketing and e-commerce scenarios that are critical for success in the workplace. The content is highly interactive and developed by Google employees with experience in the field.
Skills you’ll gain will include: Developing digital marketing and e-commerce strategies; attracting and engaging customers through digital marketing channels like search and email; measuring marketing analytics and sharing insights; building e-commerce stores, analyzing e-commerce performance, and building customer loyalty.
Platforms and tools you will learn include: Canva, Constant Contact, Google Ads, Google Analytics, Hootsuite, HubSpot, Mailchimp, Shopify, and Twitter
Through a mix of videos, assessments, and hands-on activities, you’ll learn how to use popular tools and platforms required for an entry-level job. Learn concrete skills that top employers are hiring for right now.
| 43K | Beginner | Professional Certificate | 3 - 6 Months |
57 | AI For Everyone | DeepLearning.AI | Data Science, Deep Learning, Machine Learning, Artificial Neural Networks, Business Transformation, Human Learning, Planning, Project Management | 4.8 | https://www.coursera.org/learn/ai-for-everyone | 1,092,100 | AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.
In this course, you will learn:
- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
- What AI realistically can--and cannot--do
- How to spot opportunities to apply AI to problems in your own organization
- What it feels like to build machine learning and data science projects
- How to work with an AI team and build an AI strategy in your company
- How to navigate ethical and societal discussions surrounding AI
Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.
| 40K | Beginner | Course | 1 - 4 Weeks |
58 | IBM IT Scrum Master | IBM | DevOps, Software Engineering, Computer Programming, Agile Software Development, Programming Principles, Software Engineering Tools, Application Development, Software Architecture, Communication, Continuous Delivery, Cloud Applications, Continuous Integration, Scrum (Software Development), Software-Defined Networking, Technical Product Management, Leadership and Management, Project Management, Cloud Computing, IBM Cloud, Information Technology, Operating Systems, Python Programming | 4.8 | https://www.coursera.org/professional-certificates/ibm-it-scrum-master | 1,954 | Advance your career as an IT Scrum Master. As more organizations adopt Agile development practices, the demand for Scrum Masters, especially in the IT industry, is expected to grow significantly over the next 10 years. In this program, you’ll develop the skills, tools, and portfolio to have a competitive edge in the job market.
Scrum Masters play a crucial role leading teams using Agile project management methodologies to lead projects to a successful completion. They work to remove any obstacles that may hinder project completion or progress. They facilitate Scrum events such as daily stand-up meetings, sprint planning, sprint reviews, and retrospectives. They plan, track, and lead all communication and collaboration between leadership and key team members.
An IT Scrum Master needs to be proficient in IT Fundamentals, the Software Development Lifecycle, DevOps, and Agile Project Management in order to lead successful IT projects. In this program, you’ll master these essential skills, tools, and methodologies. Upon completion, you’ll have a portfolio of real world projects and a Professional Certificate from IBM to showcase your proficiency to potential employers.
This program is ideal for existing software and IT professionals who want to level up their careers with modern development practices and skills. Additionally, the content covered during this program will help prepare learners for certifications such as the Scrum Alliance CSM, PMI-ACP, and PMI-DASM.
Applied Learning Project
This program has a strong emphasis on applied learning and includes a series of hands-on activities. You’ll take the theory and skills you’ve learned and apply them to real-world scenarios. You will build a SWOT analysis, research the software engineering role, analyze DevOps scenarios, and create an Agile plan using ZenHub.
The courses also include practice with operating systems, programming, databases, networking, cybersecurity, cloud, software development tools, and languages. After completing this program you will have practical experience with some of the key tools used in the software engineering & IT industry.
In the capstone course of this program, you will play the role of an IT Scrum Master and apply your skills and knowledge from the previous courses to a real-life inspired project scenario. The final course will test your learnings about the Scrum Master profession and help prepare you for taking the official Certified ScrumMaster (CSM) certification exam.
| 4.1K | Beginner | Professional Certificate | 3 - 6 Months |
59 | Python for Everybody | University of Michigan | Computer Programming, Python Programming, Computer Programming Tools, Programming Principles, Data Structures, Computational Thinking, Computational Logic, Data Analysis, Software Engineering, Algorithms, Critical Thinking, Problem Solving, Data Architecture, Data Management, Databases, Theoretical Computer Science, Database Administration, Data Model, Data Visualization, Database Design, Database Theory, Web Development, Web Development Tools, Computer Networking, Extract, Transform, Load, SQL, HTML and CSS | 4.8 | https://www.coursera.org/specializations/python | 1,560,414 | This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
| 269K | Beginner | Specialization | 3 - 6 Months |
60 | IBM Project Manager | IBM | Software Engineering, Agile Software Development, Scrum (Software Development), Business Analysis, Communication, Leadership and Management, Project Management, Risk Management | 4.8 | https://www.coursera.org/professional-certificates/ibm-project-manager | 5,661 | Prepare for a career in the high-growth field of project management. In this program, you’ll develop the skills, knowledge, and portfolio to have a competitive edge in the job market as an entry-level project manager in as little as 3 months. No prior knowledge or experience required.
Project Managers are the backbone of any organization. They plan, track, and manage projects to successful completion, work cross-functionally to guide team members, manage risks, and create a strong channel of communication amongst stakeholders. The demand for project managers who can lead a project to a successful completion has never been greater in our ever-changing, fast-paced world.
You’ll learn in-demand skills used by professional project managers including the processes and tools needed to set up a project for success, gain a comprehensive understanding of project management concepts, and learn project management methodologies including Agile.
By the end of this program, you’ll have a portfolio of projects to demonstrate your proficiency, including developing project timelines, roles and responsibility matrices, stakeholder management tools, and communications plans. You’ll also unlock exclusive access to career support resources and a Professional Certificate from IBM to help you in your job search.
In addition, this program is designed to help you prepare for attaining project management certifications such as the CAPM certification from PMI.
Applied Learning Project
This Professional Certificate has a strong emphasis on applied learning and includes a series of hands-on activities. In these exercises, you’ll take the theory and skills you’ve gained and apply it to real-world scenarios. From building a timeline, tracking issues, or setting up a communications plan, we’ll provide realistic scenarios you might encounter as a project manager.
Towards the end of the program are two final courses designed to bring everything together to test your practical skills in project management. A capstone course will test your practical skills and help you build a portfolio of skills and projects you can share in future interviews. In addition, the final course in the Professional Certificate is an exam that was designed to help prepare you for the CAPM certification exam.
| 2K | Beginner | Professional Certificate | 3 - 6 Months |
61 | IBM Applied DevOps Engineering | IBM | DevOps, Software Engineering, Cloud Computing, Continuous Delivery, Continuous Integration, Application Development, Cloud Applications, Software Architecture, Security Engineering, Computer Programming, Kubernetes, Cloud Infrastructure, Cloud-Based Integration, Microarchitecture, Software Testing, Agile Software Development, IBM Cloud, Docker (Software), Scrum (Software Development), Software Security, Leadership and Management | 4.7 | https://www.coursera.org/professional-certificates/ibm-applied-devops-engineering | null | Gain the in-demand skills to advance from programming to DevOps engineering. In this program, you’ll learn the latest DevOps practices, tools, and technologies from experts at IBM to get job-ready in less than 3 months.
Almost every company is looking to become more Agile and shorten software development cycles, creating a high demand for DevOps Engineers! DevOps professionals are skilled in both software development and operations, and have a working knowledge of coding and infrastructure management.
This program is ideal for existing software and IT professionals who want to level up their careers with modern development practices and skills. It requires knowledge of software engineering fundamentals, at least 1 programming language (preferably Python), Linux Commands and Scripts, and Git/Github.
You’ll master the latest DevOps practices, Agile methodologies, and Cloud Native technologies such as Scrum, Containers, Docker, Kubernetes, OpenShift, Microservices, REST, Serverless, Test Driven Development (TDD), Continuous Integration and Continuous Deployment (CI/CD), Application Security and Monitoring. You will practice hands-on with tools used by professionals, giving you job-ready experience.
When you complete the program, you’ll have a portfolio of projects to demonstrate your proficiency and a Professional Certificate from IBM. You’ll also gain access to exclusive career support, resume building, job search and interview prep resources.
Applied Learning Project
Each course in this professional certificate includes hands-on labs and real-world projects to build your DevOps portfolio such as:
creating and executing an Agile plan using ZenHub
building and deploying an application with Kubernetes and horizontal pod scaling
developing a web application with microservices and deploying it on cloud using serverless
a capstone project where you write a RESTful Flask microservice and automate its testing with the Python Nose package while practicing agile principles and deploy using Kubernetes/OpenShift and a Tekton CI/CD pipeline
| 4.3K | Intermediate | Professional Certificate | 3 - 6 Months |
62 | AI in Healthcare | Stanford University | Machine Learning, Leadership and Management, Data Analysis, Critical Thinking, Data Mining | 4.7 | https://www.coursera.org/specializations/ai-healthcare | 25,026 | Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system -- such as social media, purchases made using credit cards, census records, Internet search activity logs that contain valuable health information, and you’ll get a sense of how AI could transform patient care and diagnoses.
In this specialization, we'll discuss the current and future applications of AI in healthcare with the goal of learning to bring AI technologies into the clinic safely and ethically.
This specialization is designed for both healthcare providers and computer science professionals, offering insights to facilitate collaboration between the disciplines.
CME Accreditation
The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. View the full CME accreditation information on the individual course FAQ page.
Applied Learning Project
The final course will consist of a capstone project that will take you on a guided tour exploring all the concepts we have covered in the different classes. This will be a hands-on experience following a patient's journey from the lens of the data, using a unique dataset created for this specialization.We will review how the different choices you make -- such as those around feature construction, the data types to use, how the model evaluation is set up and how you handle the patient timeline -- affect the care that would be recommended by the model.
| 1.3K | Beginner | Specialization | 3 - 6 Months |
63 | IBM Front-End Developer | IBM | Cloud Applications, Software Engineering, Computer Programming, Application Development, Cloud Computing, IBM Cloud, Programming Principles, Software Engineering Tools, Web Development, Agile Software Development, Cloud API, Cloud Infrastructure, Cloud Management, Cloud Platforms, Communication, DevOps, Software Architecture, Continuous Integration, Software As A Service, Cloud Storage, Continuous Delivery, Front-End Web Development, Leadership and Management, Software-Defined Networking, Technical Product Management, Collaboration, Javascript, NoSQL, Mergers & Acquisitions, Python Programming, React (web framework), Strategy, User Experience | 4.6 | https://www.coursera.org/professional-certificates/ibm-frontend-developer | null | Prepare for a career in the lucrative field of software engineering. In this program, you’ll learn in-demand skills like UI/UX design, programming, and web development to get job-ready for an entry level role in front-End Development in less than 3 months. No prior experience needed to get started.
The role of a front-end developer is to build and optimize the user experience of a website or application They focus on creating the interactive and visual elements of a website, the physical layout of each page, and enhancing the site experience.
This program will help you plan, build, deploy, and test web designs and applications. You’ll create applications using automated build tools, and will learn the latest skills and tools used by professional front-end developers including UI/UX design, web development, and highly sought after programming languages, libraries and frameworks such as HTML, CSS, JavaScript, React and Bootstrap. You’ll also learn to manage your project source code using GitHub repositories, interface with external and back-end services like databases, and become familiar with DevOps and Agile practices and methodologies like CI/CD and Scrum.
When you complete the program, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM digital badge and will gain exclusive access to career resources to help you in your job search, including mock interviews and resume support.
Applied Learning Project
Throughout this Professional Certificate, you will develop a portfolio of hands-on projects involving various popular technologies and programming languages in front-end development. Projects and labs include:
Displaying Hello World using 11 programming languages
Understanding programming fundamentals with Python
Creating a single page portfolio website using HTML, CSS, and JavaScript
Cloning and forking GitHub projects
Creating GitHub repositories, working with branches and performing Pull Requests (PRs)
Communicating with back-end services using RESTful APIs
Accessing a NoSQL database like MongoDB from a front-end app
Designing compelling User Interfaces and Experiences (UI/UX) using Figma
Creating a CI/CD pipeline and deploying updates to the application
You will publish these projects through your GitHub repository to share your skills with your peers and prospective employers.
| 1.8K | Beginner | Professional Certificate | 3 - 6 Months |
64 | IBM Cybersecurity Analyst | IBM | Cryptography, Python Programming, Linux, Network Security, Security Strategy, Software Security, System Software, Computer Security Incident Management, Networking Hardware, Security Software, Cloud Computing, Cyberattacks, DevOps, Mobile Security, Computer Programming, Databases, Leadership and Management, Operating Systems, SQL, System Security | 4.6 | https://www.coursera.org/professional-certificates/ibm-cybersecurity-analyst | 170,606 | A growing number of exciting, well-paying jobs in today’s security industry do not require a college degree. This Professional Certificate will give you the technical skills to become job-ready for a Cybersecurity Analyst role. Instructional content and labs will introduce you to concepts including network security, endpoint protection, incident response, threat intelligence, penetration testing, and vulnerability assessment.
Cybersecurity is one of the most in-demand career fields.
● According to CyberSeekOpens in a new tab, from June 2019 through May 2020, there were 171,000 openings for Information Security Analysts, but only 125,000 workers currently employed in those positions – an annual talent shortfall of 46,000 workers. On average, cybersecurity roles take 21% longer to fill than other IT jobs.
● The U.S. Bureau of Labor StatisticsOpens in a new tab expects 31% hiring growth for Cybersecurity Analysts between 2019 and 2029, growing much faster than average in other careers.
You should be comfortable working with computers, be willing to develop new technical skills, and enjoy collaborative problem solving and communicating solutions. By the end of this program, you will have completed a real-world security breach hands-on project and applied concepts through industry tool virtual labs to provide you with the confidence to start a career in cybersecurity.
This program is ACE® approved - you can earn up to 10 college credits, the equivalent of 2 ½ associate degree-level courses.
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: Wireshark, IBM QRadar, IBM MaaS360, IBM Guardium, IBM Resilient, i2 Enterprise Insight Analysis
Labs: SecurityLearningAcademy.com
Libraries: Python
Projects: Investigate a real-world security breach identifying the attack, vulnerabilities, costs and prevention recommendations.
| 22K | Beginner | Professional Certificate | 3 - 6 Months |
65 | IBM Back-end JavaScript Developer | IBM | Software Engineering, Computer Programming, Software Architecture, Application Development, Software Engineering Tools, Cloud Applications, Cloud Computing, Communication, DevOps, Programming Principles, Web Development, Agile Software Development, Cloud Infrastructure, Cloud-Based Integration, IBM Cloud, Kubernetes, Microarchitecture, Javascript, Continuous Delivery, Docker (Software), Leadership and Management, Software-Defined Networking, Technical Product Management, Collaboration, Continuous Integration, Computer Science, Mergers & Acquisitions, NoSQL, Python Programming | 4.5 | null | null | null | 2.3K | Beginner | Professional Certificate | 3 - 6 Months |
66 | Meta Social Media Marketing | Meta | Marketing, Digital Marketing, Social Media, Advertising, Communication, Media Strategy & Planning, Marketing Management, Customer Analysis, Brand Management, Business Analysis, Marketing Design, Sales, Strategy and Operations, Data Analysis, General Statistics, Market Analysis, Probability & Statistics, Leadership and Management, Research and Design, Planning, Entrepreneurship | 4.8 | https://www.coursera.org/professional-certificates/facebook-social-media-marketing | 258,931 | Want to turn your passion for social media into a career? In this program, you’ll learn how to create a social media presence on Facebook and Instagram that people want to follow! Social media marketing jobs are amongst the most in-demand skills for organizations of all sizes. Whether you’re completely new to digital marketing or you’ve been tinkering with social media platforms for your own business, you’ve come to the right place. This six-course program designed by experts at Meta and Aptly will provide an introduction to digital marketing and all the major social media platforms such as Facebook, Instagram, LinkedIn, YouTube, TikTok and more to prepare you with the skills and tools needed to grow an engaging social community and run effective social media advertising.
Upon successful completion of the program, you’ll:
Earn both a Professional Certificate and the Meta Digital Marketing Associate Certification, showcasing your skills in social media marketing and the use of Meta Ads Manager to potential employers.
The Professional Certificate is now ACE® recommendedOpens in a new tab. You can learn more hereOpens in a new tab.
This specialization is also offered in ArabicOpens in a new tab, PortugueseOpens in a new tab, and SpanishOpens in a new tab.
Applied Learning Project
Throughout the program, you’ll get to practice your new skills through hands-on projects. Our projects offer an opportunity to apply social media marketing skills practically, such as:
Creating a Facebook or Instagram business page
Doing a brand exercise for your business
Creating posts on Facebook and Instagram
Creating a content calendar
Creating a creative brief for your social media ad
Building your own full ad campaign in Meta Ads Manager
Presenting your campaign results
By the end, you’ll have a project-based portfolio you can demonstrate to recruiters, potential employers or clients to help land the job!
| 18K | Beginner | Professional Certificate | 3 - 6 Months |
67 | Meta React Native | Meta | React (web framework), Javascript, Mobile Development, Mobile Development Tools, Web Development, HTML and CSS, Front-End Web Development, Web Development Tools, Application Development, Computer Programming, User Experience, Web Design, Software Engineering Tools, SQL, Software Engineering, Agile Software Development, Collaboration, Data Management, Human Computer Interaction, Interactive Design, Linux, Product Design, Product Lifecycle, Project Management | 4.7 | https://www.coursera.org/specializations/meta-react-native | 10,242 | If you want to learn how to create apps for Android and iOS devices, this course is right for you. This program is taught by industry-recognized experts at Meta.
Cross-platform mobile developers build and write code for apps that are hosted on mobile devices powered by multiple operating systems. They do everything from creating the app to debugging it after deployment. They design interactive and attractive user interfaces (UIs) to ensure the best possible end-user or customer experiences.
This specialization can be a stepping stone for building a successful career as an iOS or Android developer.
In this program, you’ll learn:
Essential cross-platform programming concepts and the tools needed to develop apps.
Work with web technologies such as HTML, CSS and JavaScript.
Manage data across multiple mobile operating systems including iOS and Android.
In-demand skills to develop, test and maintain cross-platform mobile apps using React and React Native.
GitHub repositories for version control and content management systems (CMS).
By the end, you’ll put your new skills to work by completing a real-world portfolio project. You’ll build a dynamic mobile app using a responsive design that you can showcase during a job interview. Plus, you’ll get support in your job search.
Please note that the launch date, program content, and course titles are subject to change.
Applied Learning Project
Throughout the program, you’ll engage in a number of practical lab-based exercises that offer opportunities to practice and implement what you are learning. You’ll complete hands-on projects that you can showcase during job interviews and on relevant social networks.
At the end of each course, you’ll complete an assignment to test your new skills. There are various assignments in which you’ll use a lab environment or a web application to perform tasks such as:
Use JavaScript and data from multiple sources to dynamically control a web app.
Manage a project using version control in Git and GitHub.
Build apps using React, routing, hooks, and data fetching.
At the end of the program, there will be a Capstone project where you will bring your new skillset together to create a mobile app.
| 7.2K | Beginner | Specialization | 3 - 6 Months |
68 | Finance & Quantitative Modeling for Analysts | University of Pennsylvania | Finance, Business Analysis, Data Analysis, Financial Analysis, Accounting, Forecasting, Financial Management, General Accounting, General Statistics, Statistical Analysis, Financial Accounting, Mathematical Theory & Analysis, Accounts Payable and Receivable, Probability & Statistics, Basic Descriptive Statistics, Cost Accounting, Data Model, Mathematics, Regression, Estimation, Management Accounting, Statistical Tests, Budget Management, Microsoft Excel, Spreadsheet Software, Leadership and Management, Entrepreneurship, Computer Programming | 4.5 | https://www.coursera.org/specializations/finance-quantitative-modeling-analysts | 29,968 | This course is the first course in a five-course US Federal Tax Specialization. It covers and focuses on the U.S. federal tax system as it relates to individuals, employees, and sole proprietors. Key concepts covered include gross income and items that are statutorily included or excluded in it, personal and business expenses that qualify as tax deductions, and the differing tax treatments for employees versus self-employed taxpayers. Unlike many other introductory courses in tax and as part of this course’s comprehensive wrap-up, learners will be provided with practical and tangible experience reporting both income and expenses on the main individual tax return used in the US, Form 1040.
If you have enjoyed this course, consider enrolling in our online graduate Accounting program. The University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with an MS that is highly recognized. Try an open course or two, then apply for admission into the credit-bearing version as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting iMSA online program, refer to this link: https://www.coursera.org/degrees/imsa
| 16K | Beginner | Specialization | 3 - 6 Months |
69 | Technical Support Fundamentals | Google | Communication, Computer Architecture, Computer Networking, Customer Support, Networking Hardware | 4.8 | https://www.coursera.org/learn/technical-support-fundamentals | 1,619,616 | This course is the first of a series that aims to prepare you for a role as an entry-level IT Support Specialist. In this course, you’ll be introduced to the world of Information Technology, or IT. You’ll learn about the different facets of Information Technology, like computer hardware, the Internet, computer software, troubleshooting, and customer service. This course covers a wide variety of topics in IT that are designed to give you an overview of what’s to come in this certificate program.
By the end of this course, you’ll be able to:
● understand how the binary system works
● assemble a computer from scratch
● choose and install an operating system on a computer
● understand what the Internet is, how it works, and the impact it has in the modern world
● learn how applications are created and how they work under the hood of a computer
● utilize common problem-solving methodologies and soft skills in an Information Technology setting
| 147K | Beginner | Course | 1 - 3 Months |
70 | Natural Language Processing | DeepLearning.AI | Natural Language Processing, Machine Learning, Python Programming, Statistical Programming, Artificial Neural Networks, Deep Learning, Probability & Statistics, Statistical Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, Human Learning, Linear Algebra | 4.6 | https://www.coursera.org/specializations/natural-language-processing | 22,160 | Dear Potential Learner,
Please take some time to read through this note before deciding to enroll.
This course, Narrative Economics, is relatively short and proposes a simple concept: we need to incorporate the contagion of narratives into our economic theory. You can think of narratives as stories that shape public beliefs, which in turn influence our decision making. Understanding how people arrived at certain decisions in the past can aid our understanding of the economy today and improve our forecasts of the future.
Popular thinking heavily influences our answers to questions such as how much to invest, how much to spend or save, whether to go to college or take a certain job, and many more. Narrative economics is the study of the viral spread of popular narratives that affect economic behavior. I believe incorporating these ideas into our research must be done both to improve our ability to anticipate and prepare for economic events and help us structure economic institutions and policy. Until we better incorporate it into our methods of analysis and forecasting, we remain blind to a very real, very palpable, very important mechanism for economic change. Even in the dawning age of the Internet and artificial intelligence, so long as people remain ultimately in control, human narratives will matter. Maybe they will especially matter as the new technology exploits human weaknesses and creates new venues for narrative contagion. If we do not understand the epidemics of popular narratives, we cannot fully understand changes in the economy and in economic behavior.
The course is broken into 4 modules:
Part I introduces basic concepts and demonstrates how popular stories change over time to affect economic outcomes, including recessions, depressions and inequality as well as effective inspiration and growth.. These stories can be observed from diverse sources such as politics, the media, or even popular songs.
Part II seeks to answer why some stories go viral, while others are quickly forgotten, by defining our narrative theory more firmly. This module enumerates and explores a list of seven propositions to help discipline any analysis of economic narratives.
Part III examines nine perennial narratives that have proved their ability to influence important economic decisions. They include narratives regarding artificial intelligence, stock market bubbles, and job insecurity.
Part IV looks to the future and highlights the opportunities for consilience in Narrative Economics. We share some thoughts about where narratives are taking us at this point in history and what kind of future research could improve our understanding of them.
This course offers only the beginnings of a new idea and a few suggestions for how it could be used by economists and financial professionals. The tone is not prescriptive or authoritative, as perhaps my Coursera course, Financial Markets, is in places. It represents the beginning of the journey (epidemic). This course is my way of floating the “germ” of this idea out into the broader community of not only professionals but of anyone who is interested in discovering how and why things become “important” to us as a society. I hope some of you will become infected by this idea, mutate it, spread it, and advance it. The beginning of the journey is the easy part. The challenge will come in taking these concepts to the next level. We have the tools to incorporate narratives into our research and the moral obligation to act; only the work remains.
- Robert J. Shiller
| 5.5K | Intermediate | Specialization | 3 - 6 Months |
71 | DeepLearning.AI TensorFlow Developer | DeepLearning.AI | Machine Learning, Tensorflow, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Applied Machine Learning, Human Learning, Computer Programming, Python Programming, Machine Learning Software, Natural Language Processing, Computer Vision, Forecasting, Data Visualization, Statistical Machine Learning, Statistical Analysis | 4.7 | https://www.coursera.org/professional-certificates/tensorflow-in-practice | 15,467 | You’re almost there! This is the third and final course in the Google Business Intelligence Certificate. In this course, you’ll apply your understanding of stakeholder needs, plan and create BI visuals, and design reporting tools, including dashboards. You’ll also explore how to answer business questions with flexible and interactive dashboards that can monitor data over long periods of time.
Google employees who currently work in BI will guide you through this course by providing hands-on activities that simulate job tasks, sharing examples from their day-to-day work, and helping you build business intelligence skills to prepare for a career in the field.
Learners who complete the three courses in this certificate program will have the skills needed to apply for business intelligence jobs. This certificate program assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate.
By the end of this course, you will:
-Explain how BI visualizations answer business questions
-Identify complications that may arise during the creation of BI visualizations
-Produce charts that represent BI data monitored over time
-Use dashboard and reporting tools
-Build dashboards using best practices to meet stakeholder needs
-Iterate on a dashboard to meet changing project requirements
-Design BI presentations to share insights with stakeholders
-Create or update a resume and prepare for BI interviews
| 24K | Intermediate | Professional Certificate | 3 - 6 Months |
72 | Introduction to Finance and Accounting | University of Pennsylvania | Accounting, Finance, Financial Accounting, General Accounting, Financial Analysis, Generally Accepted Accounting Principles (GAAP), Accounts Payable and Receivable, Cost Accounting, Account Management, Cash Management, Estimation, Decision Making, Investment Management, Taxes, Budget Management, Management Accounting, Problem Solving, Business Analysis, Mathematical Theory & Analysis, Mathematics, Entrepreneurship | 4.6 | https://www.coursera.org/specializations/finance-accounting | 1,717 | To understand current environmental problems, we need to consider physical, biological & chemical processes that are often the basis of those problems. This course will give you the skills necessary to address the environmental issues we are facing today by examining scientific principles and the application of those principles to natural systems. This course surveys some of the many environmental science topics at an introductory level, ultimately considering the sustainability of human activities on the planet.
Environmental impacts on Earth come from the number of people & the amount and types of resources that they use. By applying scientific principles and considering real-world examples, we will examine:
The field of environmental science and how to think like an environmental scientist
The human population and the ways in which changes in the population affect the environment
Agriculture, soils and the environmental implications of eating meat, vegetables, local, organic, sustainable, industrial and other types of food
Non-renewable fossil fuels with a focus on coal, petroleum & natural gas and the benefits + consequences of using each
Renewable fuels such as wind and solar and identify that even renewable “green” energy sources have impacts as well as benefits
Biodiversity and global change, which are the integrating units of environmental science
Applied Learning Project
The three courses comprising the Introduction to Environmental Science Specialization utilize video lectures; case studies from various sites in and around Dartmouth; interviews with experts; readings; both prompted and open discussions; and one graded quiz per module.
| 13K | Beginner | Specialization | 3 - 6 Months |
73 | IT Fundamentals for Cybersecurity | IBM | Cryptography, Network Security, Linux, Networking Hardware, Security Software, System Software, Cloud Computing, Cyberattacks, Databases, Leadership and Management, Operating Systems, SQL, System Security | 4.6 | https://www.coursera.org/specializations/it-fundamentals-cybersecurity | 54,320 | 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 junior cybersecurity analyst.
Throughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.
The 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 IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:
https://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist Opens in a new tab
Applied Learning Project
This specialization will provide you with the basics you need to get started. Throughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.
This specialization is truly an international offering from IBM with experts from the United States, Costa Rica, Canada and Italy. These instructors are architects, Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM. They will share their skills which they need to secure IBM and its clients security systems.
Learners will apply the skills they acquire to complete assessment exams as well as a project at the end of the four courses within this specialization.
| 20K | Beginner | Specialization | 3 - 6 Months |
74 | Foundations of Digital Marketing and E-commerce | Google | Digital Marketing, Marketing, E-Commerce, Strategy, Data Analysis, Social Media | 4.8 | https://www.coursera.org/learn/foundations-of-digital-marketing-and-e-commerce | 2,930 | Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, searching, and indexing. This course will teach the fundamentals of data structures and algorithms with a focus on data science applications. This specialization is targeted towards learners who are broadly interested in programming applications that process large amounts of data (expertise in data science is not required), and are familiar with the basics of programming in python. We will learn about various data structures including arrays, hash-tables, heaps, trees and graphs along with algorithms including sorting, searching, traversal and shortest path algorithms.
This specialization can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more:
MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder
MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Applied Learning Project
Learners will solve data-structure problems by analyzing and designing algorithms for searching, sorting, and indexing; creating trees and graphs; and addressing intractability. Courses also include conceptual algorithm design problems as well as
opportunities to program data-structures/algorithms in the python
programming language.
| 16K | Beginner | Course | 1 - 4 Weeks |
75 | Machine Learning Engineering for Production (MLOps) | DeepLearning.AI | Machine Learning, Applied Machine Learning, Tensorflow, Python Programming, Statistical Programming, DevOps, Devops Tools, Exploratory Data Analysis, Feature Engineering, Machine Learning Software, Probability & Statistics, Cloud Computing, Deep Learning, Google Cloud Platform, Performance Management, Strategy and Operations, Kubernetes, Leadership and Management | 4.7 | https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops | 60,425 | Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well.
Effectively deploying machine learning models requires competencies more commonly found in technical fields such as software engineering and DevOps. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles.
The Machine Learning Engineering for Production (MLOps) Specialization covers how to conceptualize, build, and maintain integrated systems that continuously operate in production. In striking contrast with standard machine learning modeling, production systems need to handle relentless evolving data. Moreover, the production system must run non-stop at the minimum cost while producing the maximum performance. In this Specialization, you will learn how to use well-established tools and methodologies for doing all of this effectively and efficiently.
In this Specialization, you will become familiar with the capabilities, challenges, and consequences of machine learning engineering in production. By the end, you will be ready to employ your new production-ready skills to participate in the development of leading-edge AI technology to solve real-world problems.
Applied Learning Project
By the end, you'll be ready to
• Design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment requirements
• Establish a model baseline, address concept drift, and prototype how to develop, deploy, and continuously improve a productionized ML application
• Build data pipelines by gathering, cleaning, and validating datasets
• Implement feature engineering, transformation, and selection with TensorFlow Extended
• Establish data lifecycle by leveraging data lineage and provenance metadata tools and follow data evolution with enterprise data schemas
• Apply techniques to manage modeling resources and best serve offline/online inference requests
• Use analytics to address model fairness, explainability issues, and mitigate bottlenecks
• Deliver deployment pipelines for model serving that require different infrastructures
• Apply best practices and progressive delivery techniques to maintain a continuously operating production system
| 3.4K | Advanced | Specialization | 3 - 6 Months |
76 | Meta Back-End Developer | Meta | Python Programming, Databases, HTML and CSS, SQL, Database Design, Programming Principles, Algorithms, Computer Science, Big Data, React (web framework), Software Testing, Web Development, Application Development, Back-End Web Development, Cloud API, Cloud Computing, Cloud Infrastructure, Collaboration, Communication, Computer Programming, Data Model, Data Structures, Data Warehousing, Database Administration, Database Application, Database Theory, DevOps, Django (Web Framework), Front-End Web Development, Full-Stack Web Development, Javascript, Kubernetes, Linux, Problem Solving, Semantic Web, Software Engineering, Software Engineering Tools, Statistical Programming, Tensorflow, Web Design, Web Development Tools | 4.7 | https://www.coursera.org/professional-certificates/meta-back-end-developer | 56,242 | Ready to gain new skills and the tools developers use to create websites and web applications? This certificate, designed by the software engineering experts at Meta—the creators of Facebook and Instagram, will prepare you for an entry-level career as a back-end developer.
In this program, you’ll learn:
Python Syntax—the most popular choice for machine learning, data science and artificial intelligence.
In-demand programming skills and how to confidently use code to solve problems.
Linux commands and Git repositories to implement version control.
The world of data storage and databases using MySQL, and how to craft sophisticated SQL queries.
Django web framework and how the front-end consumes data from the REST APIs.
How to prepare for technical interviews for back-end developer roles.
Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property.
Applied Learning Project
Throughout the program, you’ll engage in applied learning through hands-on activities to help level up your knowledge. At the end of each course, you’ll complete 10 micro-projects that will help prepare you for the next steps in your engineer career journey.
In these projects, you’ll use a lab environment or a web application to perform tasks such as:
Solve problems using Python code.
Manage a project in GitHub using version control in Git, Git repositories and the Linux Terminal.
Design and build a simple Django app.
At the end of the program, there will be a Capstone project where you will bring all of your knowledge together to create a Django web app.
| 6.5K | Beginner | Professional Certificate | 3 - 6 Months |
77 | Intuit Academy Bookkeeping | Intuit | Accounting, General Accounting, Financial Accounting, Business Analysis, Data Analysis, Financial Analysis, Cash Management, Finance, Financial Management, Accounts Payable and Receivable, Cost Accounting, Inventory Management, Accounting Software, Taxes | 4.6 | https://www.coursera.org/professional-certificates/intuit-bookkeeping | 468,701 | Explore the fascinating world of human physiology and learn about the body's organ systems, their functions, and how they maintain health. In this comprehensive course, you will:
- Master key concepts in human physiology and homeostasis
- Delve into the nervous, endocrine, cardiovascular, respiratory, and urinary systems
- Examine the role of senses, muscles, gastrointestinal, and reproductive systems
- Apply knowledge to real-life situations and medical conditions
This course is perfect for students, healthcare professionals, and anyone interested in human physiology and biology, building upon a basic understanding of human anatomy. This course is an excellent resource for MCAT preparation or as a refresher for health professionals.
As a bonus, enhance your learning with a unique immersive virtual reality (VR) experience, accessible on both VR and desktop platforms, that takes you on an incredible journey inside the human body. This course offers a captivating way to explore and understand complex physiological concepts, as you virtually shrink to navigate through blood vessels and then return to normal size to measure blood pressure. The course comes to life as an educational adventure.
| 5K | Beginner | Professional Certificate | 3 - 6 Months |
78 | Meta iOS Developer | Meta | Mobile Development, Swift Programming, iOS Development, Computer Programming, Mobile Development Tools, React (web framework), Application Development, Software Engineering, Data Structures, User Experience, User Experience Design, Web Development, Computer Programming Tools, Software Engineering Tools, Front-End Web Development, Algorithms, Computer Science, Interactive Design, Javascript, Collaboration, Communication, Data Management, Django (Web Framework), Human Computer Interaction, Linux, Problem Solving, Product Design, Software Architecture, Web Design | 4.7 | https://www.coursera.org/professional-certificates/meta-ios-developer | 18,200 | Have you ever wanted to build outstanding mobile apps like Facebook and Instagram?
This Professional Certificate will teach you how to build applications for iOS devices and start a new career as an iOS Developer. By the end of this program, you’ll be able to create and run a mobile app powered by iOS operating systems.
In this program, you’ll learn:
Essential iOS programming concepts and the tools needed to develop applications
Create user interfaces (UIs) for mobile apps using SwiftUI
Manage the lifecycle and data collections of mobile applications
Work with web technologies and manage data on iOS applications
Build an iOS app
Create cross-platform applications using React Native
Prepare for technical interviews for iOS developer roles
Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property.
Applied Learning Project
Engage in hands-on activities and learn how to implement concepts through applied learning structures.
Create a protocol in Swift
Build a UI for an application in Swift
Develop a native iOS mobile application
In the final course, you will also complete a Capstone project that will require you to utilize your new skillset by building an app. You can add this project to your portfolio and showcase your work during job interviews.
| 5.3K | Beginner | Professional Certificate | 3 - 6 Months |
79 | Meta Android Developer | Meta | Mobile Development, Computer Programming, React (web framework), Mobile Development Tools, Application Development, Software Engineering, Android Development, Other Programming Languages, Web Development, User Experience, Algorithms, Computer Science, Front-End Web Development, Javascript, Programming Principles, Cloud API, Collaboration, Communication, Data Management, Data Structures, Databases, Human Computer Interaction, Interactive Design, Linux, Problem Solving, Product Design, Software Architecture, Software Engineering Tools, Swift Programming, Web Design | 4.6 | https://www.coursera.org/professional-certificates/meta-android-developer | 21,100 | Have you ever wanted to build your own mobile app? This certificate will teach you the top Android programming languages and frameworks used for building apps like Facebook and Instagram, and how to create your own Android application.
In this program, you’ll learn:
Essential Android programming concepts and the tools needed to develop applications
How to use the Kotlin Playground
Create user interfaces (UI) for mobile apps using Android Studio
Manage the lifecycle and data collections of mobile applications
Work with web technologies and persistent data on Android applications
Describe best practices for designing the UI and experience for mobile applications
Create cross-platform applications using React Native
Prepare for technical interviews for Android developer roles
Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property.
Applied Learning Project
You’ll engage in hands-on activities and build a project-based portfolio that you can show to recruiters and potential employers when interviewing. Throughout each course, you’ll complete activities using use a lab environment or an application to perform tasks such as:
Design the UI using Interface Builder
Create simple UI using the Layout Editor
Build a native Android mobile app
In the final course, you will also complete a Capstone project where you will create an Android app.
| 5.6K | Beginner | Professional Certificate | 3 - 6 Months |
80 | Prompt Engineering for ChatGPT | Vanderbilt University | Creativity, Problem Solving, Writing | 4.8 | https://www.coursera.org/learn/prompt-engineering | 176,842 | ChatGPT and other large language models are going to be more important in your life and business than your smartphone, if you use them right. ChatGPT can tutor your child in math, generate a meal plan and recipes, write software applications for your business, help you improve your personal cybersecurity, and that is just in the first hour that you use it. This course will teach you how to be an expert user of these generative AI tools. The course will show amazing examples of how you can tap into these generative AI tools' emergent intelligence and reasoning, how you can use them to be more productive day to day, and give you insight into how they work.
Large language models respond to instructions and questions posed by users in natural language statements, known as “prompts”. Although large language models will disrupt many fields, most users lack the skills to write effective prompts. Expert users, who understand how to write good prompts, are orders of magnitude more productive and can unlock significantly more creative uses for these tools.
This course introduces students to the patterns and approaches for writing effective prompts for large language models. Anyone can take the course and the only required knowledge is basic computer usage skills, such as using a browser and accessing ChatGPT. Students will start with basic prompts and build towards writing sophisticated prompts to solve problems in any domain. By the end of the course, students will have strong prompt engineering skills and be capable of using large language models for a wide range of tasks in their job, business, personal life, and education, such as writing, summarization, game play, planning, simulation, and programming.
| 2K | Beginner | Course | 1 - 3 Months |
81 | Play It Safe: Manage Security Risks | Google | Audit, Leadership and Management, Risk Management | 4.8 | https://www.coursera.org/learn/manage-security-risks | 14,514 | The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet.
Applied Learning Project
The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.
| 4.3K | Beginner | Course | 1 - 4 Weeks |
82 | AI For Business | University of Pennsylvania | Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Data Analysis, Algorithms, Human Learning, Leadership and Management, Business Analysis, Decision Making, Human Resources, People Management, People Analysis, Artificial Neural Networks, Deep Learning, Business Transformation, Customer Analysis, Finance, Financial Accounting, Marketing, Probability & Statistics, Regulations and Compliance, Statistical Machine Learning, Strategy, User Experience, Big Data | 4.7 | https://www.coursera.org/specializations/ai-for-business-wharton | 13,671 | This specialization will provide learners with the fundamentals of using Big Data, Artificial Intelligence, and Machine Learning and the various areas in which you can deploy them to support your business. You'll cover ethics and risks of AI, designing governance frameworks to fairly apply AI, and also cover people management in the fair design of HR functions within Machine Learning. You'll also learn effective marketing strategies using data analytics, and how personalization can enhance and prolong the customer journey and lifecycle. Finally, you will hear from industry leaders who will provide you with insights into how AI and Big Data are revolutionizing the way we do business.
By the end of this specialization, you will be able to implement ethical AI strategies for people management and have a better understanding of the relationship between data analytics, artificial intelligence, and machine learning. You will leave this specialization with insight into how these tools can shape and influence how you manage your business.
For additional reading, Professor Hosanagar's book "A Human’s Guide to Machine Intelligence" can be used as an additional resource,". You can find Professor Hosanagar's book on his personal websiteOpens in a new tab or at Penguin RandomhouseOpens in a new tab.
Applied Learning Project
Each course module in this Specialization culminates in an assessment, with two courses including peer-review exercises. These assessments are designed to check learners' knowledge and to provide an opportunity for learners to apply course concepts such as data analytics, machine learning tools, and people management best practices with AI algorithms.
The assessments will be cumulative and cover the application of artificial intelligence, ethical governance rules, Big Data management, the customer journey, fraud prevention, and personalization technology in order to develop and implement a successful AI strategy for your business.
| 456 | Beginner | Specialization | 3 - 6 Months |
83 | Business and Financial Modeling | University of Pennsylvania | Business Analysis, Data Analysis, Finance, General Statistics, Probability & Statistics, Financial Analysis, Statistical Analysis, Forecasting, Mathematics, Spreadsheet Software, Statistical Tests, Basic Descriptive Statistics, Data Model, Mathematical Theory & Analysis, Risk Management, Correlation And Dependence, Probability Distribution, Decision Making, Investment Management, Accounting, Leadership and Management, Regression, Financial Accounting, Microsoft Excel, Performance Management, Cash Management, General Accounting, Computer Programming | 4.5 | https://www.coursera.org/specializations/wharton-business-financial-modeling | 17,159 | We are surrounded by so much discussion of sustainability that it can sometimes become overwhelming. Important questions include: What role can business have in ensuring the sustainability of the planet? How should business work with society to preserve the environment? These questions will be answered in this course as we explore the meaning of sustainability and its impact on modern organisations as they move to circular ideas to reduce waste, increase recycling and become fit for our modern society. In the course you will not only learn about the role of business in sustainability, but also your own personal contribution.
In addition to environmental issues we will also reflect on how employees are pressuring firms to see themselves as a positive part of the wider society. The specific topics we will cover include: Paris Climate Accord, Carbon Footprint, the circular economy, reverse logistics, recycling strategies, right to repair, Corporate Social Responsibility, Bottom of the Pyramid and developing economies, and fair trade business models. By the end of the course, your understanding of sustainability and business's relationship with society will have increased considerably. You will develop new skills in research and analysis and will have lots of new ideas to take away with you and apply in your own organisation and your own working life.
| 11K | Beginner | Specialization | 3 - 6 Months |
84 | Foundations of User Experience (UX) Design | Google | User Experience, User Experience Design, User Research, Product Development | 4.8 | https://www.coursera.org/learn/foundations-user-experience-design | 63,452 | The Foundations of Teaching for Learning programme is for anyone who is teaching, or who would like to teach, in any subject and any context - be it at school, at home or in the workplace. With dynamic lessons taught by established and respected professionals from across the Commonwealth, this eight course programme will see you develop and strengthen your skills in teaching, professionalism, assessment, and more. As you carry on through the programme, you will find yourself strengthening not only your skills, but your connection with colleagues across the globe. A professional development opportunity not to be missed.
This introductory course considers the three domains of being a teacher: Professional Knowledge and Understanding; Professional Practice; and Professional Values, Relationships and Engagement.
Enhance your course by joining the Commonwealth teaching community on our website, Facebook and Twitter.
| 61K | Beginner | Course | 1 - 4 Weeks |
85 | Google Business Intelligence | Google | Business Intelligence, Data Analysis, Data Management, Data Model, Data Visualization, Extract, Transform, Load, Leadership and Management, Tableau Software | 4.7 | https://www.coursera.org/professional-certificates/google-business-intelligence | 54,602 | Get professional training designed by Google and take the next step in your career with advanced data analytics skills. There are over 144,000 open jobs in advanced data analytics and the median salary for entry-level roles is $118,000.¹
Advanced data professionals are responsible for collecting, analyzing, and interpreting extremely large amounts of data. These jobs require manipulating large data sets and using advanced analytics including machine learning, predictive modeling, and experimental design.
This certificate builds on your data analytics skills and experience to take your career to the next level. It's designed for graduates of the Google Data Analytics CertificateOpens in a new tab or people with equivalent data analytics experience. Expand your knowledge with practical, hands-on projects, featuring Jupyter Notebook, Python, and Tableau.
After seven courses, you’ll be prepared for jobs like senior data analyst, junior data scientist, data science analyst, and more. At under 10 hours a week, the certificate program can be completed in less than six months. Upon completion, you can apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, and Verizon.
75% of certificate graduates report a positive career outcome (e.g., new job, promo or raise) within six months of completion2
¹Lightcast™ US Job Postings (Last 12 Months: 1/1/2022 – 12/31/2022)
2Based on program graduate survey, United States 2022
Applied Learning Project
This program includes over 200 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world advanced data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in advanced data analytics and data science. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to advanced data analytics tools and platforms and key technical skills required for an advanced role.
Platforms and tools you will learn include: Jupyter Notebook, Python, Tableau
In addition to expert training and hands-on projects, you'll complete a capstone project that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now.
| 1.1K | Advanced | Professional Certificate | 3 - 6 Months |
86 | Meta Database Engineer | Meta | SQL, Databases, Statistical Programming, Python Programming, Database Design, Programming Principles, Algorithms, Computer Science, Big Data, Software Testing, Application Development, Collaboration, Communication, Computer Programming, Data Analysis, Data Management, Data Model, Data Structures, Data Warehousing, Database Administration, Database Application, Database Theory, Django (Web Framework), Javascript, Linux, Problem Solving, Project Management, Software Engineering, Software Engineering Tools, Tableau Software, Tensorflow, Web Development | 4.6 | https://www.coursera.org/professional-certificates/meta-database-engineer | 36,481 | Want to get started in the world of database engineering? This program is taught by industry-recognized experts at Meta. You’ll learn the key skills required to create, manage and manipulate databases, as well as industry-standard programming languages and software such as SQL, Python, and Django used for supporting outstanding websites and apps like Facebook, Instagram and more.
In this program, you’ll learn:
Core techniques and methods to structure and manage databases.
Advanced techniques to write database driven applications and advanced data modeling concepts.
MySQL database management system (DBMS) and data creation, querying and manipulation.
How to code and use Python Syntax
How to prepare for technical interviews for database engineer roles.
Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property.
Applied Learning Project
You’ll complete a series of 5 projects in which you will demonstrate your proficiency in different aspects of database engineering.
You’ll demonstrate your skills with database normalization by structuring your own relational database by defining relationships between entities and developing relational schema.
This is followed by a stored procedure project in which you’ll demonstrate your competency in SQL automation by writing a stored procedure to solve real world problems. After developing your skills in Python, you’ll create a Python application to administer a MySQL database and program its interactions with clients.
In the next project, you are required to apply data modeling to a real-world project by enacting advanced data modeling concepts such as automation, storage and optimization.
Finally, you’ll be tasked with creating a MySQL database solution for an app by drawing on the knowledge and skills that they have gained throughout the program.
| 4.8K | Beginner | Professional Certificate | 3 - 6 Months |
87 | Project Initiation: Starting a Successful Project | Google | Project Management, Strategy and Operations, Collaboration, Communication, Leadership and Management, Planning | 4.8 | https://www.coursera.org/learn/project-initiation-google | 548,356 | This is the second course in the Google Project Management Certificate program. This course will show you how to set a project up for success in the first phase of the project life cycle: the project initiation phase. In exploring the key components of this phase, you’ll learn how to define and manage project goals, deliverables, scope, and success criteria. You’ll discover how to use tools and templates like stakeholder analysis grids and project charters to help you set project expectations and communicate roles and responsibilities. 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:
- Understand the significance of the project initiation phase of the project life cycle.
- Describe the key components of the project initiation phase.
- Determine a project’s benefits and costs.
- Define and create measurable project goals and deliverables.
- Define project scope and differentiate among tasks that are in-scope and out-of-scope.
- Understand how to manage scope creep to avoid impacting project goals.
- Define and measure a project’s success criteria.
- Complete a stakeholder analysis and explain its significance.
- Utilize RACI charts to define and communicate project team member responsibilities.
- Understand the key components of project charters and develop a project charter for project initiation.
- Evaluate various project management tools to meet project needs.
| 18K | Beginner | Course | 1 - 4 Weeks |
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