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


This is a companion book to the Coursera Regression Models class as part of theData Science Specialization. Of community tutorials, DataCamp blog posts, and community courses. Applications using the open source R language for statistical computing and graphics. A job board for people and companies looking to hire R users (for programming,data science, teaching). Python and R are among the popular programming languages that a datascientist must know to pursue a lucrative career in data science. DataCamp is an online interactive education platform that offers tutorials in datascience and R programming. We are very proud to present our book Practical Data Science with R. Choosing the right language for data analysis can be almost as complicated as actually learning the language. Make sure you have the following software installed: R 2.15 · Rstudio desktop. 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! Project-based tutorials with step-by-step instructions and examples. An Introduction to Data Science, is now available for free download. With Revolution R Enterprise your data scientists are now armed with the most widely used statistical programming language in the world. DataCamp is the fastest and easiest way to learn R programming and datascience. One of the big points of Practical Data Science with R is to supply a large number of fully worked examples.





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