Date Topic Lecture Slides HW Projects
Tues Sept 6 What is Data Science? What is Data Science?
Thur Sept 8 Building blocks Best Practices
Tues Sept 13 Building blocks Writing with Data
Thur Sept 15 Building blocks Git
Tues Sept 20 Data Wrangling I Data Import
Thur Sept 22 Data Wrangling I Data Manipulation
Tues Sept 27 Data Wrangling I Tidy data
Thur Sept 29 Viz + EDA Visualization 1
Tues Oct 4 Viz + EDA Visualization 2
Thur Oct 6 Viz + EDA EDA
Tues Oct 11 Case Study Case study
Thur Oct 13 Data Wrangling II Reading Data from the Web
Tues Oct 18 Data Wrangling II Strings and Factors Midterm
Thur Oct 20 Interactivity Making Websites
Tues Oct 25 Interactivity and Dashboards Final
Thur Oct 27 Iteration Writing Functions
Tues Nov 1 Iteration Iteration and Listcols
Thur Nov 3 Iteration Simulation
Tues Nov 8 -Election day-
Thur Nov 10 Linear models Linear Models
Tues Nov 15 Linear models Cross Validation
Thur Nov 27 Linear models Bootstrapping
Tues Nov 22 -Thanksgiving-
Thur Nov 24 -Thanksgiving-
Tues Nov 29 Extra topics Shiny apps
Thur Dec 1 Extra topics Statistical Learning
Tues Dec 6 -Final Project Week-
Thur Dec 8 -Final Project Week-
Thur Dec 15 Final Projects! What is Data Science Revisited