| Date | Module | Lectures | Live Session | Homework |
|---|---|---|---|---|
| 9/8 - 9/10 | What is Data Science? | What is Data Science? | 9/8 | HW 0 (due 9/11, 10pm) |
| 9/10 - 9/19 | Building Blocks | Best Practices; Writing with Data; Version Control | 9/15 | HW 1 (due 9/19, 10pm) |
| 9/21 - 9/30 | Data Wrangling I | Data Import; Data Manipulation; Tidy Data | 9/24 | HW 2 (due 9/30, 10pm) |
| 10/1 - 10/10 | Visualization & EDA | Visualization 1; Visualization 2; EDA | 10/6 | HW 3 (due 10/10, 10pm) |
| 10/12 - 10/14 | Case Study | Case Study | 10/13 | |
| 10/15 - 10/25 | Data Wrangling II | Reading Data from the Web; Strings and Factors | 10/20 | Midterm (due 10/25, 10pm) |
| 10/26 - 11/4 | Interactivity | Making Websites; Plot.ly and Dashboards | 10/29 | HW 4 (due 11/4, 10pm); Final (due TBD) |
| 11/5 - 11/18 | Iteration | Writing Functions; Iteration and Listcols; Simulations | 11/10 | HW 5 (due 11/18, 10pm) |
| 11/19 - 12/4 | Linear Models | Linear Models; Cross-validation; Bootstrapping | 11/24 | HW 6 (due 12/4, 10pm) |
| 12/4 - 12/7 | Extra Topics | TBD; TBD | TBD | HW 7 (due 12/11, 10pm) |