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:

http://www.analyticbridge.com/group/books/forum/topic/show?id=2004291%3ATopic%3A250866

Besides, here is the Manning page for the book (with subscription to early access):

http://www.manning.com/zumel/