R for Data Science by Garrett Grolemund, Hadley Wickham

R for Data Science



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R for Data Science Garrett Grolemund, Hadley Wickham ebook
ISBN: 9781491910399
Format: pdf
Publisher: O'Reilly Media, Incorporated
Page: 250


Learn how to do data science with R. In the battle of "best" data science tools, python and R both have their pros and cons. Fun video tutorials & coding challenges on R, Python, Statistics & More. Learning path on R provides a step by step guide to become a data scientist using R. Whether, your language is R, python, Java or C/C++ we have captured all of them. Become a Data Scientist in 12 weeks or a Big Data Engineer (Hadoop/Spark Engineer) in 6 weeks. I also mentor data science students in R, and I'm a teaching assistant for online courses in both R and Python. The path includes exercises, tutorials & best practices. Donoho notes, however, that the Berkeley data science curriculum uses Python instead of R. Learn Data Science from the comfort of your browser, at your own pace. Data Science has its own language. You may have heard that R and the big-data RevoScaleR package have been integrated with with SQL Server 2016 as SQL Server R Services. As this flowchart from Wikipedia illustrates, data science is about collecting, cleaning, analyzing and reporting data. R remains popular with the PhDs of data science, but as data moves mainstream, Python is taking over.





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