Course materials for General Assembly's Data Science course in San Francisco, CA (11/2/16 - 1/25/17).
Lead Instructor: Nathaniel Tucker
Instructional Associate: Dan Bricarello
Course Producer: Vanessa Ohta
- Nate: Monday at 5pm
- Dan: TBD
All will be held in the student center at GA, 225 Bush Street, SF.
Please fill this out at the end of each class!
- Install the Anaconda distribution of Python 2.7x.
- Install Git and create a GitHub account.
- Once you receive an email invitation from Slack, join our "GA Data Science 29 team" and add your photo! Dan will be on Slack during class and office hours to handle questions.
- Make sure you have everything installed as specified above in "Installation and Setup" by Monday
- Read this awesome intro to Git here
- Read this intro to the iPython notebook here
- Read Project 1 Instructions
| Class | Date | Topic |
|---|---|---|
| 1 | 11/2 | Intro to Data Science |
| 2 | 11/7 | Intro to git/pandas |
| 3 | 11/9 | Exploratory Data Analysis |
| 4 | 11/14 | Flexible Class Session #1: Exploratory Data Analysis |
| 5 | 11/16 | Model Fit |
| 6 | 11/21 | Linear Regression |
| 7 | 11/28 | Linear Regression and Model Fit, Part 2 |
| 8 | 11/30 | k-Nearest Neighbors |
| 9 | 12/5 | Logistic Regression |
| 10 | 12/7 | Flexible Class Session #2: Machine Learning Modeling |
| 11 | 12/12 | Advanced Metrics and Communicating Results |
| 12 | 12/14 | Decision Trees and Random Forests |
| 13 | 12/19 | Flexible Class Session #3: Machine Learning Modeling, Part 2 |
| 14 | 12/21 | Flexible Class Session #4: Market Segmentation |
| 15 | 1/4 | Introduction to Time Series |
| 16 | 1/9 | Introduction to Natural Language Processing |
| 17 | 1/11 | Introduction to Databases |
| 18 | 1/16 | Wrapping Up and Next Steps |
| 19 | 1/18 | Final Project Presentations |
| 20 | 1/23 | Final Project Presentations, Part 2 |