Recommended Resources for Data Science and R

Data Science

• An excellent essay on the data science field by David Donoho
• The Stats Geek: a blog on statistics
• Cross Validated: probably the largest forum for discussing anything related to statistics and machine learning
• Data Camp: a great resource for training in data science
• Data Science Reader: an aggregator for data science content
• DataTau: a data science forum
• Data Science Hiring Guide: a practical guide on what to consider when hiring data scientists

R

• RStudio Blog: keep up to date with the newest developments in RStudio develOverflow
• Bioconductor: the repository for R packages relating to bioinformatics
• R-bloggers: an aggregator for blog posts about R
• Tidyverse: a highly useful collection of R package designed for data science of which ggplot2 and dplyr are probably the most notable members
• Awesome R: ever wondered what great R packages are out there that you are not using? This curated list of R packages shows an overview of popular packages for various tasks.

Machine Learning

• The Elements Of Statistical Learning: the fundamental text book on statistical learning
• Introduction to Statistical Learning: an introduction to statistical learning with applications in R

Programming

• Stack Overflow: if you have a programming problem, you’ll probably find the solution here
• Introduction to Algorithms: a book providing a theoretical, comprehensive introduction to algorithms and data structures
• Head First Design Patterns: a learner-friendly introduction to the most important design pattern
• Clean Code: learn coding principles to become a clean coder

Other

• Awesome Blogdown: A curated list of static websuites built using the blogdown R package
• rbind: A network of R bloggers

Is your favorite resource for data science missing? Let me know in the comments!