Introduction to Statistical Computing in R (Spring 2026)

This page contains an outline of the topics, content, and assignments for the quarter. Note that this schedule will be updated as the quarter progresses, with all changes documented here.

week	date	topic	slides	notes	activity	lab	reading
1	Mon, 3/30	Intro to R & RStudio
1	Wed, 4/1	Intro to Quarto
2	Mon, 4/6	Data Visualization with ggplot2
2	Wed, 4/8	More Data Visualization!
3	Mon, 4/13	Data Wrangling with dplyr
3	Wed, 4/15	Extending Data Wrangling Verbs
4	Mon, 4/20	Data Joins & Transformations with tidyr
4	Wed, 4/22	Working with Categorical Variables
5	Mon, 4/27	Working with Strings
5	Wed, 4/29	Working with Dates
6	Mon, 5/4	Version Control
6	Wed, 5/6	Midterm Exam
7	Mon, 5/11	Vector Functions
7	Wed, 5/13	Iteration + Nice Tables
8	Mon, 5/18	Data Frame Functions
8	Wed, 5/20	Simulation
9	Mon, 5/25	No Class
9	Wed, 5/27	Linear Regression
10	Mon, 6/1	Model Validation and Advanced Graphics
10	Wed, 6/3	Course Review