- DS Specialization github repo
- DS Specialization github io
- Data Science Specialization Course Notes by Xing Su
- Linear Algebra Review and Reference
- Berkeley Linear Algebra Cheatsheet
- Intro to Linear Algebra for Applied ML w Python
- R for Data Science
- R Programming for Data Science
- Exploratory Data Analysis with R
- Report Writing for Data Science in R
- Statistical Inference for Data Science
- Regression models for Data Science in R
- The Caret Package
- Developing Data Products in R
- An Introduction to R
- Big Book of R
- Hands-on Programming with R
- The Tidynomicon
- R Graphics Cookbook, 2nd edition
- Introduction to Data Science, Data Analysis and Prediction Algorithms with R
- Data Science Live Book
- Practical Data Science with R
- Data Skills for Reproducible Science
- Tidyverse Skills for Data Science
- Advanced Data Science 2020
- Modern Data Science with R
- Introduction to Statistical Learning
- Statistical Inference via Data Science: A ModernDive into R and the tidyverse
- R For Statistical Learning
- Statistical rethinking with brms, ggplot2, and the tidyverse: Second edition
- Modern Statistics with R
- Machine Learning
- Hands-On Machine Learning with R
- Interpretable Machine Learning
- Advanced Statistical Computing
- Tidy Modeling with R
- Applied predictive Model
- R Markdown: The Definitive Guide
- Mastering Shiny
- ggplot2: Elegant Graphics for Data Analysis
- Text Mining with R
- blogdown
- R Packages
- Julia Silge
- Tidyverse blog
- R bloggers
- Simply Statistics
- RStudio Blog
- Variance Explained
- Data imaginist
- Probably Overthinking it
- Vicki Boykis
- Roel's R-tefacts
- Shirin's playgRound
- That's so Random
- Jozef Rblog
- ouR data generation
- FinderDing
- The Lab-R-torian
- msperlin
- RStudio
- RStudio Tips
- One R Tip a Day
- Roger D. Peng
- Hadley Wickham
- Mine Çetinkaya-Rundel
- Thomas Lin Pedersen
- Nathan Yao