Slides

Modified

March 24, 2026

Date	Lecture meeting	Title
January 20, 2026	Lecture 01	Welcome to INFO 2951
January 22, 2026	Lecture 02	The grammar of graphics
January 27, 2026	Lecture 03	Visualizing various types of data
January 29, 2026	Lecture 04	Grammar of data wrangling
February 3, 2026	Lecture 05	Working with relational data
February 5, 2026	Lecture 06	Tidying data
February 10, 2026	Lecture 07	Data types and classes
February 12, 2026	Lecture 08	Importing and recoding data
February 19, 2026	Lecture 09	Databases + SQL
February 24, 2026	Lecture 10	Scraping data from the web
February 26, 2026	Lecture 11	Functions
March 3, 2026	Lecture 12	Iteration
March 5, 2026	Lecture 13	Application Programming Interfaces
March 10, 2026	Lecture 14	Rectangling data
March 12, 2026	Lecture 15	Reproducible reporting with Quarto
March 17, 2026	Lecture 16	Hypothesis testing with randomization
March 19, 2026	Lecture 17	Quantifying uncertainty with bootstrap intervals
March 24, 2026	Lecture 18	Linear regression with a single predictor
March 26, 2026	Lecture 19	Models with transformations and multiple predictors
April 7, 2026	Lecture 20	Models for discrete outcomes
April 9, 2026	Lecture 21	Introduction to machine learning
April 14, 2026	Lecture 22	Build better training data
April 16, 2026	Lecture 23	Tree-based inference and hyperparameter optimization
April 21, 2026	Lecture 24	Introduction to LLMs
April 23, 2026	Lecture 25	Programming with LLMs
April 28, 2026	Lecture 26	Improving LLM output
April 30, 2026	Lecture 27	Tool calling
May 5, 2026	Lecture 28	Wrap-up: Where to go from here