STATA
Web Links
- Econ 204 STATA introduction document: https://ipl.econ.duke.edu/dthomas/ec204/ho-stata.pdf
- STATA documentation: https://www.stata.com/features/documentation/
- STATA YouTube channel: https://www.youtube.com/user/statacorp/featured
- STATA help (UCLA): https://stats.oarc.ucla.edu/stata/
- Introduction to STATA video (UCLA): https://www.youtube.com/watch?v=SNQv3OQiggw
- STATA tutorial (Princeton): https://data.princeton.edu/stata
- Introduction to STATA (Econometrics Academy): https://sites.google.com/site/econometricsacademy/econometrics-software/stata
- STATA features simulations & analysis (Econometrics By Simulation): http://www.econometricsbysimulation.com/p/stata.html
Python
Web Links
- Python documentation, tutorials, and guides for all skill levels: https://www.python.org/doc/
- A series on quantitative economic modeling in Python: https://python.quantecon.org/
R
Web Links – Introductory Tutorials & Videos
- Setting up your computer to use R: https://learnr-examples.shinyapps.io/ex-setup-r/
- Interactive primers on RStudio basics: https://rstudio.cloud/learn/primers
- Moving from point & click interfaces to statistical research code in R: https://www.rstudio.com/resources/webinars/a-gentle-introduction-to-tidy-statistics-in-r/
- Introduction to Data Science in R – a series of short videos from the Duke CCT: https://youtube.com/playlist?list=PL9qLtkRkGWLeh9UNptt_734t0u1zXz5wy
- A two-part workshop on R fundamentals from the Duke Library CDVS: https://rfun.library.duke.edu/portfolio/r_flipped/
Web Links – Other Resources
- A popular online textbook for learning data science with R: https://r4ds.had.co.nz
- A guide to good coding practice in R: https://style.tidyverse.org/index.html
- An online textbook on advanced topics in R, intended as an empirical companion to the Stock and Watson econometrics text: https://www.econometrics-with-r.org/
- Guides for making it easy to use popular R packages: https://www.rstudio.com/resources/cheatsheets/
- A side-by-side code dictionary for STATA users interested in learning R: https://stata2r.github.io
General Resources
The Center for Data and Visualization Sciences has workshops and online resources for learning R, Python, and a variety of other data science, visualization, mapping, and management applications.
A hub where communities of developers for all sorts of applications answer tech questions: https://stackoverflow.com/questions