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)