<commit_before># DAT DC 12

#### Course Instructors

- <NAME> ([Twitter](https://twitter.com/aljohri) | [LinkedIn](https://www.linkedin.com/in/aljohri) | [Github](https://github.com/AlJohri))
- <NAME> ([Twitter](https://twitter.com/lababidi) | [LinkedIn](https://www.linkedin.com/in/mahmoudlababidi) | [Github](https://github.com/lababidi))

#### Exit Ticket

Please help us improve the class by filling out exit tickets after each lesson.

http://goo.gl/forms/85T0wDN22a

#### Homework Submission

http://goo.gl/forms/OvpmnpvOPM

#### Homework Schedule

- [Homework 1](./homework/homework1.ipynb) (Python Exercises) | Assigned 3/30 | Due 4/6
- [Homework 2](./homework/homework2.ipynb) (<NAME> Pandas Tutorial Exercise 1) | Assigned 4/6 | Due 4/11

#### Lesson Schedule

|Class                  |Day|Date     |Lesson                                                          |
|-----------------------|---|---------|----------------------------------------------------------------|
| [Lesson 1](./lesson01)| M |3/21/2016|Intro GA, Data Science, Install Party, Command Line|
| [Lesson 2](./lesson02)| W |3/23/2016|Git, Python|
| [Lesson 3](./lesson03)| M |3/28/2016|Python|
| [Lesson 4](./lesson04)| W |3/30/2016|Python, Intro Numpy|
| [Lesson 5](./lesson05)| M | 4/4/2016|Numpy, Math, Linear Algebra|
| [Lesson 6](./lesson06)| W | 4/6/2016|Numpy, Pandas, Matplotlib|
|               Lesson 7| M |4/11/2016|Intro ML, Gradient Descent, Linear Regression|
|               Lesson 8| W |4/13/2016|TBD|
|               Lesson 9| M |4/18/2016|TBD|
|              Lesson 10| W |4/20/2016|TBD|
|              Lesson 11| M |4/25/2016|TBD|
|              Lesson 12| W |4/27/2016|TBD|
|              Lesson 13| M | 5/2/2016|TBD|
|              Lesson 14| W | 5/4/2016|TBD|
|              Lesson 15| M | 5/9/2016|TBD|
|              Lesson 16| W |5/11/2016|TBD|
|              Lesson 17| M |5/16/2016|TBD|
|              Lesson 18| W |5/18/2016|TBD|
|              Lesson 19| M |5/23/2016|TBD|
|              Lesson 20| W |5/25/2016|TBD|
|              Lesson 21| W | 6/1/2016|TBD|
|              Lesson 22| M | 6/6/2016|TBD|

#### Recommended Textbooks

<table>

<tr>
	
<td align="center">
<a href="http://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X"><img height="200px" src="http://ecx.images-amazon.com/images/I/51Cf7c2AlpL._SX379_BO1,204,203,200_.jpg" alt="Data Science from Scratch: First Principles with Python"></img></a>
<p>
<NAME>, SWE Google
<br/>
(<a href="https://twitter.com/joelgrus">Twitter</a> | <a href="https://www.linkedin.com/in/joelgrus">LinkedIn</a> | <a href="https://github.com/joelgrus">Github</a>)<commit_msg>add course tracker link<commit_after># DAT DC 12

#### Course Instructors

- <NAME> ([Twitter](https://twitter.com/aljohri) | [LinkedIn](https://www.linkedin.com/in/aljohri) | [Github](https://github.com/AlJohri))
- <NAME> ([Twitter](https://twitter.com/lababidi) | [LinkedIn](https://www.linkedin.com/in/mahmoudlababidi) | [Github](https://github.com/lababidi))

#### Exit Ticket

Please help us improve the class by filling out exit tickets after each lesson.

http://goo.gl/forms/85T0wDN22a

#### Homework Submission

http://goo.gl/forms/OvpmnpvOPM

#### Homework Schedule

- [Homework 1](./homework/homework1.ipynb) (Python Exercises) | Assigned 3/30 | Due 4/6
- [Homework 2](./homework/homework2.ipynb) (<NAME> Pandas Tutorial Exercise 1) | Assigned 4/6 | Due 4/11

#### Lesson Schedule

|Class                  |Day|Date     |Lesson                                                          |
|-----------------------|---|---------|----------------------------------------------------------------|
| [Lesson 1](./lesson01)| M |3/21/2016|Intro GA, Data Science, Install Party, Command Line|
| [Lesson 2](./lesson02)| W |3/23/2016|Git, Python|
| [Lesson 3](./lesson03)| M |3/28/2016|Python|
| [Lesson 4](./lesson04)| W |3/30/2016|Python, Intro Numpy|
| [Lesson 5](./lesson05)| M | 4/4/2016|Numpy, Math, Linear Algebra|
| [Lesson 6](./lesson06)| W | 4/6/2016|Numpy, Pandas, Matplotlib|
|               Lesson 7| M |4/11/2016|Intro ML, Gradient Descent, Linear Regression|
|               Lesson 8| W |4/13/2016|TBD|
|               Lesson 9| M |4/18/2016|TBD|
|              Lesson 10| W |4/20/2016|TBD|
|              Lesson 11| M |4/25/2016|TBD|
|              Lesson 12| W |4/27/2016|TBD|
|              Lesson 13| M | 5/2/2016|TBD|
|              Lesson 14| W | 5/4/2016|TBD|
|              Lesson 15| M | 5/9/2016|TBD|
|              Lesson 16| W |5/11/2016|TBD|
|              Lesson 17| M |5/16/2016|TBD|
|              Lesson 18| W |5/18/2016|TBD|
|              Lesson 19| M |5/23/2016|TBD|
|              Lesson 20| W |5/25/2016|TBD|
|              Lesson 21| W | 6/1/2016|TBD|
|              Lesson 22| M | 6/6/2016|TBD|

#### [Admin Only] Course Tracker

https://goo.gl/qGC7ku

#### Recommended Textbooks

<table>

<tr>
	
<td align="center">
<a href="http://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X"><img height="200px" src="http://ecx.images-amazon.com/images/I/51Cf7c2AlpL._SX379_BO1,204,203,200_.jpg" alt="Data Science from Scratch: First Principles with Python"></img></a>
<p>
<NAME>, SWE Google
<br/>
(<a href="https://twitter.com/joelgrus">Twitter</a> | <a href="https://www.linkedin.com/in/joelgrus">LinkedIn</a> | <a href="https://github.com/joelgrus">Github</a>)
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