Resources
Some resources for research and quantitative work
Typesetting and Managing Research Projects
- The Not So Short Introduction to LaTeX: https://tobi.oetiker.ch/lshort/lshort.pdf.
- Introduction to LaTeX and TikZ.
- Beamer Tips by Paul Goldsmith-Pinkham: https://github.com/paulgp/beamer-tips.
- Making slides with LaTeX. With code!
- Code and Data for the Social Sciences by Matthew Gentzkow and Jesse M. Shapiro: https://web.stanford.edu/~gentzkow/research/CodeAndData.pdf.
- Project management in social sciences research.
- Pro Git by Scott Chacon and Ben Straub https://git-scm.com/book/en/v2.
- Introduction to version control and Git.
Machine Learning
- The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman: https://hastie.su.domains/ElemStatLearn/.
R Programming
- An Introduction to R: https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf.
Python Programming
- Python Data Science Handbook by Jake VanderPlas: https://jakevdp.github.io/PythonDataScienceHandbook/.