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
Page: 250
ISBN: 9781491910399
Format: pdf
Publisher: O'Reilly Media, Incorporated


This book teaches the concepts and tools behind reporting modern data analyses in a reproducible manner. Explore Data Science Certificate offered by Johns Hopkins University. 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! 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. Nowadays, the data science field is hot, and it is unlikely that this will change in the near future. Applications using the open source R language for statistical computing and graphics. There are a lot of good books on statistics, machine learning, analytics, and R. Data Science has its own language. Course you will learn how to program in R and how to use R for effective data analysis. Learn how to execute an end-to-end data science project and deliver business results. Check our infographic "Data Science Wars: R vs Python". Wondering whether you should use R or Python for your next data analysis post? An Introduction to Data Science, is now available for free download. Contribute to r4ds development by creating an account on GitHub.





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