Date Topic Lecture Slides HW Projects
Tues Sept 8 What is Data Science? What is Data Science?
Thur Sept 10 Building blocks Best Practices
Tues Sept 15 Building blocks Writing with Data
Thur Sept 17 Building blocks Git
Tues Sept 22 Data Wrangling I Data Import
Thur Sept 24 Data Wrangling I Data Manipulation
Tues Sept 29 Data Wrangling I Tidy data
Thur Oct 1 Viz + EDA Visualization 1
Tues Oct 6 Viz + EDA Visualization 2
Thur Oct 8 Viz + EDA EDA
Tues Oct 13 Case Study Case study
Thur Oct 15 Data Wrangling II Reading Data from the Web
Tues Oct 20 Data Wrangling II Strings and Factors Midterm
Thur Oct 12 Interactivity Making Websites
Tues Oct 27 Interactivity Plot.ly and Dashboards Final
Thur Oct 29 Iteration Writing Functions
Tues Nov 3 -Election day-
Thur Nov 5 Iteration Iteration and Listcols
Tues Nov 10 Iteration Simulation
Thur Nov 12 Linear models Linear Models
Tues Nov 17 Linear models Cross Validation
Thur Nov 19 Linear models Bootstrapping
Tues Nov 24 -Thanksgiving-
Thur Nov 26 -Thanksgiving-
Tues Dec 1 Extra topics Shiny apps
Thur Dec 3 Extra topics Statistical Learning
Tues Dec 8 -Final Projects-
Thur Dec 10 -Final Projects-
Thur Dec 17 Final Projects! What is Data Science Revisited