Schedule
Week 01: Intro
Week 02: Data viz
Week 03: Data wrangle
Week 04: Probability
Week 05: Bootstrap + Data Ethics
Week 06: Sim-based testing
Week 07: Central Limit Theorem
Week 08: Two-sample-inference
Week 09: Linear models
Week 10: Multiple linear regression
Week 11: Classification + Text analysis
Week 12: Spatial data
Week 13: Web scraping + functions
Week 14
Week 15

Week 03: Data wrangle

Lectures 🔗︎

Slides Videos Application Exercise (AE)
Monday Tidy data and data wrangling Tidy data and data wrangling: Part 1 AE 05: NC Bike Crashes
Tidy data and data wrangling: Part 2
Data wrangling demo (optional)
Wednesday Joining data from multiple sources Joining data from multiple data sources AE 06: Join data sets + data wrangling

Readings 🔗︎

OpenIntro Statistics: 2.1.1 - 2.1.7, 2.2
(click “Read Free Sample” to access PDF)		 Required
R for Data Science: Data transformations Optional

Assignments 🔗︎

Lab 03 due Wed, Sep 9 at 11:59p

Announcements 🔗︎