Date Topic Lecture Slides Slack HW Projects
Tues Sept 3 What is Data Science? What is Data Science?
Thur Sept 5 Building blocks Best Practices
Tues Sept 10 Building blocks Writing with Data
Thur Sept 12 Building blocks Git
Tues Sept 17 Data Wrangling I Data Import
Thur Sept 19 Data Wrangling I Data Manipulation
Tues Sept 24 Data Wrangling I Tidy data
Thur Sept 26 Viz + EDA Visualization 1
Tues Oct 1 Viz + EDA Visualization 2
Thur Oct 3 Viz + EDA EDA
Tues Oct 8 Case Study Case study
Thur Oct 10 Data Wrangling II Reading Data from the Web
Tues Oct 15 Data Wrangling II Strings and Factors Midterm
Thur Oct 17 Interactivity Making Websites
Tues Oct 22 Interactivity and Dashboards Final
Thur Oct 24 Iteration Writing Functions
Tues Oct 29 Iteration Iteration and Listcols
Thur Oct 31 Iteration Simulation
Tues Nov 5 -Election day-
Thur Nov 7 Linear models Linear Models
Tues Nov 12 Linear models Cross Validation
Thur Nov 14 Linear models Bootstrapping
Tues Nov 19 Extra topics Building R Packages (with Emily Robinson)
Thur Nov 21 Extra topics Shiny
Tues Nov 26 Extra topics Statistical Learning
Thur Nov 28 -Thanksgiving-
Tues Dec 3 -Final Project Week-
Thur Dec 5 -Final Project Week-
Tues Dec 10 Final Projects! What is Data Science Revisited