General Data Science
STAT 447: Data Science Programming Methods by Dirk Eddelbuettel
IPUMS Tutorials - how to use IPUMS data, online analysis tools
Bayesian Data Analysis course by Aki Vehtari
A Programmer’s Introduction to Mathematics by Jeremy Kun
Statistical Rethinking: A Bayesian Course with Examples in R and Stan by Richard McElreath
Data Science and Society by Chris Bail (Duke)
Mathematics for Machine Learning by Garrett Thomas
Introduction to Data Science: Data Analysis and Prediction Algorithms with R by Rafael A. Irizarry
DSC 223: Introduction to Data Science by Tyler George
Coding for Economists by Arthur Turrell & Others
Python, R, and Stata Implementation of Statistical Methods
Code and Data for the Social Sciences: A Practitioner’s Guide by Gentzkow & Shapiro
ECON 607 - Data Science for Economists by Grant McDermott
R, Stata, and Python Resources by Gabors Data Analysis
Resources for Learning Python, R, SQL, and Data Science by Data Umbrella
Kaggle Learn Guides for Data Science (curated by Avi Kumar Talavia)
Data Science and Statistics Cheat Sheets, Machine Learning Lecture Notes, and more by Merve Noyan
Python
Style Guide for Python Code by Rossum, Warsaw, & Coghlan
Stata to Python Equivalents by Daniel M. Sullivan
Python Courses by Code Academy
Pyslackers - An open community for Python programming enthusiasts.
PyLadies - mentorship group with a focus on helping more women become active participants and leaders in the Python open-source community
From R to Python by Joscelin Rocha Hidalgo - a collection of Python resources geared toward someone with a background in R
Coming from R (to Python) by Arthur Turrell
Probabilistic Programming in Python by Salvatier, Wiecki, Fonnesbeck
Introduction to Economic Modeling and Data Science (in Python) by Coleman, Lyon, Perla, et al
Python for Social Science by Jean Mark Gawron
Python Resources Aggregator by UC Berkeley
Full Stack Python - Learn to Build, Deploy and Operate Python Applications by Matt Makai
Automate the Boring Stuff with Python by Al Sweigart
Selenium with Python by Baiju Muthukadan
Python project-based tutorials by (many people)
Python Numpy Tutorial (with Jupyter and Colab) by Justin Johnson
Introduction to Python and NumPy for Deep Learning by DeepMind Technologies Limited
Mapping and Data Visualization with Python by Ujaval Gandhi
SQL
SQL for Data Analysis by udacity
Introduction to SQL Course by DataCamp
SQL Tutorial - Full Database Course for Beginners by freeCodeCamp.org
Introduction to SQL by W3 Schools
8 Week SQL Challenge by Data With Danny
Practical SQL for Data Analysis by Haki Benita
R
Nice R code blog by Rich FitzJohn and Daniel Falster
A Succinct Intro to R by Steve Haroz
STAT 545 - UBC course on R and data science
R for Stata Users by Andrade, et. al.
Text Mining with R by Silge & Robinson
The R Tidyverse Style Guide by Hadley Wickham
R for Data Science by Hadley Wickham
Intro to R by Hans H. Sievertsen - how to load, process, and visualize data in R
Applied Economics with R by Hans H. Sieversten
Regression analysis in R by Grant R. McDermott
Big Book of R by Oscar Baruffa
List of open sources books about R by Pere A. Taberner
Analyzing US Census Data: Methods, Maps, and Models in R by Kyle Walker
Best Coding Practices for R by Vikram Singh Rawat
R Markdown: The Definitive Guide by Xie, Allaire, and Grolemund
Introduction to Econometrics with R by Hanck, et. al.
Translating Stata to R by McDermott, Butts, Nick HK
R Function A Day by Indrajeet Patil - collections of 365 tweets about R functions
Statistics lectures using R by Amelia McNamara
Introduction to Data Science in the Tidyverse by McNamara and Wickham
A Road Map for historians of economics to learn R by Aurélien Goutsmedt
Hands-On Programming with R by Garrett Grolemund - emphasis on simulation and vectorizations
Using R for Introductory Econometrics 2nd edition by Florian Heiss - R coding companion to Wooldridge’s textbook
Overview of Econometrics Packages in R by Zeileis and McDermott
Coding style, coding etiquette (in R) by Salmon and Dervieux
R for Stata Users by Matthieu Gomez
Resources for self-guided learning by R-Ladies NYC
Introduction to GitHub Actions to R users by Beatriz Milz
An Introduction to Statistical Learning with Applications in R by James, et. al.
Writing Functions in R by Cosima Meyer
Stata
Learning Stata for econ research aggregator by Wayne Aaron Sandholtz
Stata Coding Guide by Julian Reif
Development Research in Practice (Stata Style Guide) by DIME Analytics
Applied Econometrics in Stata by Jack Blundell
Programming with Stata by Kluender and Marx
Stata Workflow Guide by Asjad Naqvi
Maximum Likelihood Estimation (MLE) in Stata by Asjad Naqvi
Coding Style Guide by Michael Stepner
Microeconometrics Using Stata by Cameron and Trivedi
Tips for managing large-scale datasets efficiently in Stata by Pere A. Taberner
The Stata Guide (aggregate) by Asjad Naqvi
Stata Style Guide by Miklos Koren
Matlab
MATLAB/R Reference by David Hiebeler
LaTeX
LaTeX for Beginners, 5th Edition
LaTeX Table Hints and Tips by Adrian P. Robson
Short Math Guide for LaTeX by Downes, updated by Beeton
The Not So Short Introduction to LaTeX by Tobias Oetiker
Data Viz
An Economist’s Guide to Visualizing Data by Jonathan A. Schwabish
Telling Stories With Data by Rohan Alexander
Data Visualization: A Practical Introduction by Kieran Healy
Data Visualization Checklist by NickCH-K
Hands-On Data Visualization Dougherty and Ilyankou
Git + GitHub
Git and GitHub chapter of R Packages by Hadley Wickham and Jenny Bryan
GitHub Replication Template by Dequette
Git: A Guide for Economists by Frank Pinter
Git and GitHub for R by Jenny Bryan and others
GitHub Project Example with Stata Coding Style Guide by Michael Stepner
How to Use Git/GitHub with R by David Keyes
Git Cheat Sheet for Data Scientists by Kessie Zhang
Other
QuantEcon - open source code workshops and resources for economic modeling
Computational Thinking for Social Scientists by Jae Yeon Kim
Coding for Economists: A Language-Agnostic Guide to Programming for Economists by Ljubica Ristovska
Working with Large Data Technical Report by Gomolka, Blaschke, Hirsch
More Data Analysis Case Studies and Resources for R and Python by Gabors Data Analysis
Julia Bootcamp by Cameron Pfiffer
Mostly Harmless Econometrics Replication Code in Stata, R, Python, and Julia by Vikram Jambulapati
Quantitative Editing: A Guide by Laura Bronner
Data Analysis Case Study codebase for R, Python, and Stata by Békés and Kézdi