# 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
- Analisted: a data science aggregator

## 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: a book on machine learning from a statistical perspective (free PDF available!)
- Introduction to Statistical Learning: an introduction to machine 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

## 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!

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