Practical Data Science with R2

The secret is out: Nina Zumel and I are busy working on Practical Data Science with R², the second edition of our best selling book on learning data science using the R language.

Our publisher, Manning, has a great slide deck describing the book (and a discount code!!!) here:

We also just got back our part-1 technical review for the new book. Here is a quote from the technical review we are particularly proud of:

The dot notation for base R and the dplyr package did make me stand up and think. Certain things suddenly made sense.

The reviewer is reacting to an improved section on how to organize calculations that condenses and combines the best ideas from the following articles:

• R Tip: Break up Function Nesting for Legibility
• Using the Bizarro Pipe to Debug magrittr Pipelines in R
• R Tip: Make Arguments Explicit in magrittr/dplyr Pipelines

Practical Data Science with R and Practical Data Science with R² are what you get when we have an editor! Also Practical Data Science with R² is going to be able to move faster through coding problems by using features from our wrapr package (which was not available when we wrote the first edition). And we will show how to move much faster through data using the data.table package!

We really think this is a book you are going to want to learn from, or even teach from. The great thing is you can start working with Practical Data Science with R² right now through Manning’s Early Access Program (MEAP)! Heck, we even throw in a complete e-copy of the first edition at no extra cost!