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

Applications using the open source R language for statistical computing and graphics. If you want to learn R for use in statistics and data science, you can count on this course to take you from beginner to an advanced level! An Introduction to Data Science, is now available for free download. One of the big points of Practical Data Science with R is to supply a large number of fully worked examples. R: sort(x) Python: numpy.sort(x) COBOL: IDENTIFICATION DIVISION. There are many articles on this subject from renowned data. Whenever data scientists are asked about what software they use R always comes up at the top of the list. Work through “Practical Data Science with R” and you will learn a lot about the practice of data science. Learn practical skills for visualizing, transforming, and modeling data in R. R remains popular with the PhDs of data science, but as data moves mainstream, Python is taking over. Many of my software engineer friends ask me about learning data science. With Revolution R Enterprise your data scientists are now armed with the most widely used statistical programming language in the world. Become a Data Scientist in 12 weeks or a Big Data Engineer (Hadoop/Spark Engineer) in 6 weeks. We are very proud to present our book Practical Data Science with R. Learn how to execute an end-to-end data science project and deliver business results. Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge.