DS 501: Intro to Data Science

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

Case One: Collecting data from Twitter

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

Case Two: Analyzing data from MovieLens

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

Case Three: Textual analysis of movie reviews

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

Case Four: Data Science Shark Tank

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

Lecture Notes & Materials

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

License

Released under the MIT license. See LICENSE for details.