Bookmarks

A collection of books, training resources, videos, tools, and other materials that I have found useful.

Books

Statistics & Machine Learning

  • R for Data Science (2e)
    Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund. A practical introduction to data science using R and the tidyverse.

  • An Introduction to Statistical Learning
    An accessible introduction to statistical learning, regression, classification, resampling, tree-based methods, and unsupervised learning.

Data Science & Programming

  • Advanced R
    A deeper look at R programming, functions, object-oriented programming, metaprogramming, and performance.

  • Python Data Science Handbook
    Reference for NumPy, pandas, Matplotlib, Scikit-Learn, and the Python data science ecosystem.

Training

Machine Learning

  • Tidymodels: Learn
    Tutorials covering preprocessing, model fitting, tuning, resampling, and model evaluation with tidymodels.

Statistics

  • Penn State STAT Online
    Open course materials covering regression, experimental design, multivariate analysis, and other statistical methods.

SQL

  • SQLBolt
    Interactive lessons for learning and practicing SQL.

  • Mode SQL Tutorial
    SQL tutorials focused on data analysis.

Videos

Statistics & Machine Learning

  • StatQuest
    Clear explanations of statistics, machine learning, and related mathematical concepts.

  • Stanford Online
    Lectures and courses covering machine learning, artificial intelligence, statistics, and computer science.

R Programming

  • Posit
    Talks and tutorials on R, Python, Shiny, Quarto, and modern data science workflows.

Articles & Blogs

Data Science

  • R-bloggers
    Articles and tutorials from the broader R community.

  • Towards Data Science
    Articles covering data science, machine learning, statistics, and AI.

Statistics

  • Simply Statistics
    Commentary and resources on statistics, data science, research, and reproducibility.

Datasets