The Course materials for General Assembly's Data Science course for Booz Allen Hamilton in Washington D.C. (7/21/17 - 9/15/17)
Refer to https://git.generalassemb.ly/ds-dc-19-bah-07-2017/DS-DC-BAH1/tree/master/unit-4_project for capstone information. Submission links and instructions can be found in https://git.generalassemb.ly/ds-dc-19-bah-07-2017/DS-DC-BAH1/blob/master/unit-4_project/requirements.md .
You've all been invited to use Slack for chat during class and the day. Please consider this the primary way to contact other students. Office Hours are listed Weekly on Slack in the Office Hours Channel
Fill me out at the end of each class!
Lead Instructor: Alex Egorenkov
Instructional Assistant: Charles Rice
Instructional Assistant: Sam Stack
| Class | Date | Topic | Instructor | Extra Material(s) |
|---|---|---|---|---|
| 1 | 7/21 | What is Data Science | SMART Question Example | |
| Your Development Environment | iPython Notebook Practice | |||
| Python Fundamentals : Part 1 | ||||
| 2 | 7/28 | Python Fundamentals : Part 2 | ||
| Review & Project 1 | ||||
| Statistics Review | ||||
| Statistics Part 2 | ||||
| 3 | 8/4 | Exploratory Data Analysis | ||
| Data Visualization in Python | ||||
| Review and Project 2 Workshop | ||||
| 4 | 8/11 | Linear Regression | ||
| Train-Test Split & Bias Variance | ||||
| 5 | 8/18 | KNN / Classification | ||
| Logistic Regression | ||||
| 6 | 8/25 | Review and Project 3 Workshop | ||
| Getting Data from API's | ||||
| NLP | ||||
| 7 | 9/8 | FLEX: Decision Trees or Clustering | ||
| 8 | 9/15 | Review and Project 4 Workshop | ||
| Project Presentations |