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 12: Spatial data

Lectures ðŸ”—︎

Slides Videos Application Exercise (AE)
Monday Spatial data + visualization Spatial data + visualization AE 23: Spatial data
Wednesday No lecture: Statistics experience

Assignments ðŸ”—︎

Peer review due Thu, Nov 5 at 11:59p
HW 03 due Sun, Nov 8 at 11:59p
Statistics experience #2 due Sun, Nov 8 at 11:59p
Lab 08 due Wed, Nov 11 at 11:59p

Announcements ðŸ”—︎

Tea with a TA!

Hang out with the TAs from STA 199! This is a casual conversation and a fun opportunity to meet the members of the STA 199 teaching time. The only rule is these can’t turn into office hours!

Tea with a TA counts as a statistics experience.

Upcoming Tea with a TA events

  • Caroline Levenson, Mon, Nov 2, 1p - 2p

    Caroline Levenson is a junior studying Statistics and Computer Science. She did not know she wanted to study statistics until taking this class. Since then, she has completed an independent study with Professor Tackett where she created an R Shiny app for data visualization. The project was with the Duke Law School where she continues to work as a research assistant. In addition, she has worked in industry primarily as a software engineer.