Practical Data Science with R -New Book-
For those who have been struggling with using R for statistical analysis and wish they had a rich and articulated written receipe on how to do Data Science with R, this might be of your interest. I have had the chance to skim through the Table of Contents and had a quick look at the Free chapter and this is certaintly a great addition to other Analytics, Statistics, Machine Learning, Data Science and R books. It seems to emphasise on the multi-faceted role of the Data Scientist the process as a whole: from gathering requirements, loading and examining data to building, validating and deploying models to production.
Practical Data Science with R, Nina Zumel and John Mount. The article below is from analyticbridge.com:
Besides, here is the Manning page for the book (with subscription to early access):