Useful Links & Materials

Astronomy/astrostat

• Computational Astronomy
• Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan
• Modern Statistical Methods for Astronomy: With R Applications
• Extragalactic Astronomy and Cosmology

Summer Schools / Workshops

• PSU Center for Astrostatistics
• Astrophysics. Data Analysis Workshops

Statistics

• An Introduction to Statistical Learning
• Просто о статистике (с использованием R)
• Regression and Other Stories by Andrew Gelman, Jennifer Hill, and Aki Vehtari
• Beyond Multiple Linear Regression
• Bayesian Data Analysis by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin.
• Bayesian Data Analysis course at by Aki Vehtari

Data Visualization

• Fundamentals of Data Visualization by Claus O. Wilke
• Designing ggplots: making clear figures that communicate

R programming

• R for Data Science
• Mastering Software Development in R
• STAT 545 by Jenny Bryan
• Введение в язык программирования R
• Telegram Группа пользователей языка R

Python

• Python Data Science Handbook
• Python for Data Analysis by Wes McKinney (pandas creator)
• The Good Research Code Handbook

DS

• Software Development Resources for Data Scientists

Other

Regular expressions

• RegexOne. Learn Regular Expressions with simple, interactive exercises
• regex101

Stories

• Using AWK and R to parse 25tb

• panstarrs — my R package, featured in February 2022: “Top 40” New CRAN Packages by R Views