Date Topic Lecture Slides HW Projects
Thur Sept 9 What is Data Science? What is Data Science?
Tues Sept 14 Building blocks Best Practices
Thur Sept 16 Building blocks Writing with Data
Tues Sept 21 Building blocks Git
Thur Sept 23 Data Wrangling I Data Import
Tues Sept 28 Data Wrangling I Data Manipulation
Thur Sept 30 Data Wrangling I Tidy data
Tues Oct 5 Viz + EDA Visualization 1
Thur Oct 7 Viz + EDA Visualization 2
Tues Oct 12 Viz + EDA EDA
Thur Oct 14 Case Study Case study
Tues Oct 19 Data Wrangling II Reading Data from the Web
Thur Oct 21 Data Wrangling II Strings and Factors Midterm
Tues Oct 26 Interactivity Making Websites
Thur Oct 28 Interactivity Plot.ly and Dashboards Final
Tues Nov 2 -Election day-
Thur Nov 4 Iteration Writing Functions
Tues Nov 9 Iteration Iteration and Listcols
Thur Nov 11 Iteration Simulation
Tues Nov 16 Linear models Linear Models
Thur Nov 18 Linear models Cross Validation
Tues Nov 23 Linear models Bootstrapping
Thur Nov 25 -Thanksgiving-
Tues Nov 30 Extra topics TBA
Thur Dec 2 Extra topics TBA
Tues Dec 7 -Final Project Week-
Thur Dec 9 -Final Project Week-
Tues Dec 14 Final Projects! What is Data Science Revisited