# Resources

Below are some useful resources on analytics and data science.

### Blogs

Simply Statistics - A statistics blog by Rafa Irizarry, Roger Peng, and Jeff Leek

Rbloggers - A blog aggreagation site for posts on R programming

Count Baysie - Probability Blog

Flowing Data - Data Visualisation, D3.js, R

Peterâ€™s stats stuff - Applied statistics and R

R Weekly - Weekly Updates from the Entire R Community

### Websites / Books

Statistics Done Wrong - The woefully complete guide

Happy Git and Github for the userR- A good guide to integrating git and github with Rstudio

RStudio Cheatsheets - A collection of useful R cheatsheets

R Packages - Developing R Packages by Hadley Wickham

R for Data Science - Data Science using R by Hadley Wickham

R Style Guide - The tidyverse style guide, Hadley Wickham

Text Mining with R - Tidy Text Mining

Field Guide to the R Ecosystem - Mark Sellors

### Podcasts

Not So Standard Deviations - Roger Peng and Hilary Parker talk about the latest in data science and data analysis

Linear Digressions - A podcast about data science and machine learning

Data Framed - A DataCamp podcast with industry experts in data science