R for Data Science Garrett Grolemund, Hadley Wickham
Publisher: O'Reilly Media, Incorporated

R Programming for Data Science. Join our 12 week intensive bootcamp in R, Python, Spark, Hadoop and SAS. A collection of useful one-page resources for a data miner, data scientist, and/or a decision scientist. New York Data Science Academy - Become a Data Scientist. A Survival Guide to Data Science with R. Nowadays, the data science field is hot, and it is unlikely that this will change in the near future. Project-based tutorials with step-by-step instructions and examples. One of the big points of Practical Data Science with R is to supply a large number of fully worked examples. As this flowchart from Wikipedia illustrates, data science is about collecting, cleaning, analyzing and reporting data. Learn how to execute an end-to-end data science project and deliver business results. Make sure you have the following software installed: R 2.15 · Rstudio desktop. This is a companion book to the Coursera Regression Models class as part of theData Science Specialization. This book is for sale at http:// leanpub.com/rprogramming. As I frequently travel in data science circles, I'm hearing more and more about a new kind of tech war: Python vs. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio. There are a lot of good books on statistics, machine learning, analytics, and R.