The 6th iteration of the Boston Data Science course
Course materials for General Assembly's Data Science course in Boston (6/23/15 - 9/3/15).
Instructor:
- Paul Burkard (pburkard88@gmail.com)
Expert-in-Residence:
-
Jon Blum (jon@jonblum.net)
Office Hours: 5:30-6:30 Tuesdays and Thursdays
Homework Submission: Student Repo
| Week | Tuesday | Thursday |
|---|---|---|
| 1 | 6/23: Intro to Data Science and Machine Learning | 6/25: Intro to Databases |
| 2 | 6/30: NoSQL, Python, and Pandas | 7/02: Web Scraping and Command Line Final Project Kickoff |
| 3 | 7/07: Linear Regression and Model Evaluation HW1 Due |
7/09: Intro to Classification - KNN HW2 Due |
| 4 | 7/16: Probability and Naive Bayes | 7/21: Logistic Regression Project Milestone (PM1): Elevator Pitch |
| 5 | 7/23: Decision Trees | 7/28: Support Vector Machines |
| 6 | 7/30: Clustering Project Milestone (PM2): Data Ready |
8/04: Dimensionality Reduction |
| 7 | 8/06: Natural Language Processing and Latent Semantic Indexing | 8/11: Recommender Systems |
| 8 | 8/13: Ensemble Methods Project Milestone (PM3): First Draft Due |
8/18: Project Working Session #1 |
| 9 | 8/20: Network Analysis | 8/21: Time Series Analysis Project Milestone (PM4): Peer Feedback Due HW3 Due |
| 10 | 8/25: Hadoop + Big Data 1 | 8/27: Hadoop + Big Data 2 |
| 11 | 9/01: Course Review and Project Working Session #2 | 9/03: Project Presentations |