Resources

Textbooks

Foundations of Linear and Generalized Linear Models: Statistics textbook with more theoretical flavor
Generalized Linear Models with Examples in R: Statistics textbook with more applied flavor
R for Data Science: R programming background

Getting started: Get started with R, RStudio, LaTeX, Git, and GitHub
Preparing reports: How to prepare high-quality reports for STAT 9610 and beyond
Sample homework repository: A sample of a completed homework repository
Git/GitHub/Gradescope workflow: Illustration of workflow for homeworks and exams
AI tools: Instructor statement on AI tools and suggestions for which tools to use
tidyverse crash course: State-of-the-art data science paradigm in R
Programming best practices: Writing readable, efficient, and reproducible code in R