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 01: Intro

Lectures ðŸ”—︎

Slides Videos Application Exercise (AE)
Monday Welcome to STA 199! Welcome to STA 199! Live lecture slides
Tour of website + Sakai UN Votes
Wednesday Meet the Toolkit Meet the Toolkit Tour of RStudio + GitHub

Readings ðŸ”—︎

How to read an R help page Required
The murky tale of Flint’s deceptive water data Required
ROpenSci’s Reproducibility Guide Optional
1500 scientists lift the lid on reproducibility Optional

Assignments ðŸ”—︎

Submit GitHub username due Wed, Aug 19 at 11:59p
Complete Get to know you survey due Wed, Aug 19 at 11:59p
Lab 01 due Wed, Aug 26 at 11:59p
Read syllabus

Other resources ðŸ”—︎

Complete the following Duke StatSci Learning R tutorials to prepare for Thursday’s lab.

All tutorials can be found under the Getting Started tab:

  • Basics of R and RStudio
  • Basics of R and R Markdown
  • Into the Tidyverse
  • Clone repo + start new project
  • Commit + Push + Pull