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