Programming for Data Analytics

Programming and Data Science with R

This page contains resources for programming and performing data analysis with R for people with varying levels experience. Some of the resources focus more on general programming while others focus on statistical modeling/machine learning and text mining.

 

  • Applied Predictive Modeling. Max Kuhn and Kjell Johnson. Great applied book with lots of examples written in R using Max Kuhn's caret package

 

 

 

 

  • All the amazing books freely available from Roger Peng’s website: R programming for Data science, Exploratory Data Analysis with R, Report Writing for Data Science with R, and the Art of Data Science. 

The books from Roger Peng’s website form a great introduction to programming for data science with R. The books from Hadley Wickham and Garrett Grolemund are more advanced but indispensable for practitioners with R looking to become experts.

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