This repository contains open source instructional material for PS-811, Introduction to Statistical Computing (Spring 2020, UW--Madison).
Part 1: Essentials
- January 24: syllabus, installing R/RStudio/Git
- January 31: project organization, introductory rmarkdown
- February 7: R basics and Tidyverse philosophy
- February 14: data manipulation and pipes
- February 21: ggplot
- February 28: regression and model output
Part 2: What they don't teach you about real data and workflow
- March 6: dirty data (reading, cleaning, joining)
- March 13: tidying data (aka "shaping")
- March 20: Spring Break
- March 27: R-Markdown "Deep Dive"
- April 3: Git and Github
Part 3: The real money-makers
- April 10: intermediate git (Git history, branches, flow, large datasets)
- April 17: functional programming (verbs if/at/all, apply, anonymous functions, purrr)
- April 24: causal modeling
- May 1: predictive modeling