Date Topic Lecture Slides HW Projects
Tues Sept 5 What is Data Science? What is Data Science?
Thur Sept 7 Building blocks Best Practices
Tues Sept 12 Building blocks Writing with Data
Thur Sept 14 Building blocks Git
Tues Sept 19 Data Wrangling I Data Import
Thur Sept 21 Data Wrangling I Data Manipulation
Tues Sept 26 Data Wrangling I Tidy data
Thur Sept 28 Viz + EDA Visualization 1
Tues Oct 3 Viz + EDA Visualization 2
Thur Oct 5 Viz + EDA EDA
Tues Oct 10 Case Study Case study
Thur Oct 12 Data Wrangling II Reading Data from the Web
Tues Oct 17 Data Wrangling II Strings and Factors Midterm
Thur Oct 19 Interactivity Making Websites
Tues Oct 24 Interactivity and Dashboards Final
Thur Oct 26 Iteration Writing Functions
Tues Oct 31 Iteration Iteration and Listcols
Thur Nov 2 Iteration Simulation
Tues Nov 7 -Election day-
Thur Nov 9 Linear models Linear Models
Tues Nov 14 Linear models Cross Validation
Thur Nov 16 Linear models Bootstrapping
Tues Nov 21 -Thanksgiving-
Thur Nov 23 -Thanksgiving-
Tues Nov 28 Extra topics Shiny apps
Thur Nov 30 Extra topics Statistical Learning
Tues Dec 5 -Final Project Week-
Thur Dec 7 -Final Project Week-
Thur Dec 14 Final Projects! What is Data Science Revisited