Case studies and lecture notes/materials for DS 501 Spring 2016. View the course syllabus for more information.

Using Twitter ReST and streaming APIs to collect and explore data.

Using Pandas to analyze numerical movie ratings and demographic information from the MovieLens 1M Data Set.

Using Scikit-Learn to perform textual and sentiment analysis of 2k text-based movie reviews.

Using hacking, business, and math skills to come up with an idea of a new business/startup based upon data science technology.

1. Introduction
2. Data Gathering
3. Data Storage
4. Business Intelligence
5. Basic Statistics, Probability, and Linear Algebra
6. Machine Learning Part 1 and Midterm Review
7. Midterm Exam
8. Machine Learning Part 2
9. Visualization
10. Large-Scale Data Analysis
11. Graph Data
12. Graph Data and High Dimensional Data
13. Deep Learning and Final Review
14. Final Exam

Released under the MIT license. See LICENSE for details.