The 7th iteration of the Boston Data Science course
Course materials for General Assembly's Data Science course in Boston (10/26/15 - 01/27/16).
Instructor:
- Paul Burkard ([email protected])
TA:
-
Jonathan Blum ([email protected])
Office Hours: 6:00-6:30 Mondays and Wednesdays @ GA and by appointment
Homework Submission: Student Repo
| Week | Monday | Wednesday | Friday |
|---|---|---|---|
| 1 | 10/26: Intro to Data Science and Machine Learning | 10/28: Intro to Databases Final Project Kickoff |
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| 2 | 11/02: NoSQL, Python, and Pandas | 11/04: Web Scraping and Command Line HW1 Due |
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| 3 | 11/09: Linear Regression and Model Evaluation | 11/11: Intro to Classification - KNN HW2 Due |
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| 4 | 11/16: Probability and Naive Bayes | 11/18: Logistic Regression Project Milestone (PM1): Elevator Pitch |
|
| 5 | 11/23: Decision Trees | 11/25: NO CLASS | |
| 6 | 11/30: Support Vector Machines | 12/02: Clustering Project Milestone (PM2): Data Ready |
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| 7 | 12/07: Dimensionality Reduction | 12/09: Natural Language Processing and Latent Semantic Indexing | |
| 8 | 12/14: Recommender Systems | 12/16: Ensemble Methods |
- | 12/21: NO CLASS | 12/23: NO CLASS |
- | 12/28: NO CLASS | 12/30: NO CLASS |
9 | 01/04: Project Working Session #1 | 01/06: Network Analysis | 01/08: Time Series and Data Streams
10 | 01/11: Hadoop + Big Data 1
Project Milestone (PM3): First Draft Due | 01/13: Hadoop + Big Data 2 | 11 | 01/18: NO CLASS | 01/20: Course Review and Project Working Session #2 | 12 | 01/25: Project Presentations | 1/27: Project Presentations |