Course materials for General Assembly's Data Science course in San Francisco (12/4/17 - 2/26/17)
Instructor: Trevor Lindsay
Course Times:
Mon/Wed: 6:30pm - 9:30pm
Office hours:
Mon/Wed: 5:30pm - 6:30pm (right before class)
All courses / office hours will be held at GA, 225 Bush Street
| Week | Date | Class | Due |
|---|---|---|---|
| Unit 1 - Research Design and Exploratory Data Analysis | |||
| 1 | 12/4 | Introduction Intro to Data Science |
|
| 1 | 12/6 | Numpy Pandas |
|
| 2 | 12/11 | More Pandas Plotting |
|
| 2 | 12/14 | Exploratory Data Analysis | |
| 3 | 12/18 | Probability & Statistics | |
| 3 | 12/20 | [Review Session] | HW 1 |
| 12/25 | Holiday - No Class | ||
| 12/27 | Holiday - No Class | ||
| 1/1 | Holiday - No Class | ||
| Unit 2: Foundations of Data Modeling | |||
| 4 | 1/3 | Intro to Machine Learning Linear Regression |
|
| 4 | 1/8 | Logistic Regression | |
| 5 | 1/10 | [Review Session] | |
| 1/15 | Holiday - No Class | ||
| 5 | 1/17 | Advanced Metrics & Communicating Results | |
| 6 | 1/22 | K-Nearest Neighbors Decision Trees Random Forest |
Project Proposal |
| 6 | 1/24 | [Review Session] | |
| Unit 3: Data Science in the Real World | |||
| 7 | 1/29 | Feature Engineering | |
| 7 | 1/31 | Unsupervised Machine Learning | |
| 8 | 2/5 | Time Series Modeling | |
| 8 | 2/7 | Natural Language Processing | |
| 9 | 2/12 | Recommendation Systems | HW 2 |
| 9 | 2/14 | Survey of Advanced Topics | |
| 2/19 | Holiday - No Class | ||
| 10 | 2/21 | [Review Session] | HW 3 |
| 10 | 2/26 | Final Project Presentations | Final Project |
- 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 "dat-sf-41" team and add your photo!
- PEP 8 - Style Guide for Python
- Learn How to Think Like a Computer Scientist
- Plenty more to come in this section.