Introduction to Statistical Computing (Spring 2020)

This repository contains open source instructional material for PS-811, Introduction to Statistical Computing (Spring 2020, UW--Madison).

Schedule

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