General resources
Textbooks
- Kosuke Imai, Quantitative Social Science: An Introduction (Princeton UP, 2017)
- Diez, Cetinkaya-Rundel, and Barr, OpenIntro Statistics (OpenIntro, 4th ed, 2019)
- Francisco Urdinez and Andres Cruz, R for Political Data Science: A Practical Guide (CRC, 2020)
- Ismay, Kim, and Valdivia, Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Online/CRC, 2025)
Git and Version Control
R Resources
- Wickham, Cetinkaya-Rundel, and Grolemund, R for Data Science (Online/O’Reilly, 2nd ed, 2023)
- Arel-Bundock, Greifer, and Heiss, Model to Meaning: How to Interpret Statistical Models Using marginaleffects for R and Python (online, 2025)
- Rodrigues, Building reproducible analytical pipelines with R (online, 2023)
Causal Inference
Data Sources