Course materials for General Assembly's Data Science course in San Francisco (3/20/18 - 5/24/18)
Instructor: Adam Jones
Course Times
Tues/Thursday: 6:30pm - 9:30pm
Office hours:
Thurs: 5:30pm - 6:30pm (right before class)
- Additional hours available upon request
All courses / in-person office hours will be held at GA, 225 Bush Street
| Tuesday | Thursday | HW |
|---|---|---|
| 3/20: Introduction / Expectations / Intro to Data Science | 3/22: Numpy & Pandas | HW 1 Assigned (Tues) |
| 3/27: Statistics Fundamentals I | 3/29: Statistics Fundamentals II | HW 1 Due & HW 2 Assigned (Tues) |
| 4/3: Data Science Toolkit | 4/5: Introduction to Linear Regression | HW 2 Due & HW 3 Assigned (Tues) |
| 4/10: Evaluating Model Fit | 4/12: Intro to classification | Final Project Pt. 1 Due & Final Project Pt. 2 Assigned (Th) |
| 4/17: Intro to Logistic Regression | 4/19: Communicating the Results of Logistic Regression | HW 4 Assigned (Tues) & HW 3 Due (Th) |
| 4/24: Clustering | 4/26: Decision Trees | Project Proposal due & HW 4 Due (Th) |
| 5/1: NLP with Classification | 5/3: Topic Modeling | Final Project Pt. 2 Due & Final Project Pt. 3 Assigned (Th) |
| 5/8: Time-series Data | 5/10: Modeling Time-series Data | Final Project Pt. 3 Due & Final Project Pt. 4 Assigned (Th) |
| 5/15: Databases | 5/17: Next Steps with Data Science | Final Project Pt. 4 Due & Final Project Pt. 5 Assigned (Th) |
| 5/22: Neural Networks | 5/24: Final Presentations!!! | Final Project Pt. 5 Due (Th) |
- Install the Anaconda distribution of Python 2.
- Install Git and create a GitHub account.
- Once you receive an email invitation from Slack, add your photo and join our team!
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent