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
Page: 250
Publisher: O'Reilly Media, Incorporated


Check our infographic "Data Science Wars: R vs Python". Take free online R Programming is course 2 of 10 in the Data Science Specialization. In the battle of "best" data science tools, python and R both have their pros and cons. Topics in statistical data analysis will provide working examples. With this O'Reilly report, you'll learn the basics of manipulating data and constructing. Wondering whether you should use R or Python for your next data analysis post? There are a lot of good books on statistics, machine learning, analytics, and R. Python and R are among the popular programming languages that a datascientist must know to pursue a lucrative career in data science. One of the big points of Practical Data Science with R is to supply a large number of fully worked examples. Learning path on R provides a step by step guide to become a data scientist using R. The path includes exercises, tutorials & best practices. 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. Whenever data scientists are asked about what software they use R always comes up at the top of the list.





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