R for Data Science. Garrett Grolemund, Hadley Wickham

R for Data Science


R.for.Data.Science.pdf
ISBN: 9781491910399 | 250 pages | 7 Mb


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



Use the R Programming Language to execute data science projects and become a data scientist. New York Data Science Academy - Become a Data Scientist. Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. Nowadays, the data science field is hot, and it is unlikely that this will change in the near future. See also link to the raw data at the bottom of the post. Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. With this book, you'll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Whether, your language is R, python, Java or C/C++ we have captured all of them. 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. Practical Data Science with R lives up to its name. Join our 12 week intensive bootcamp in R, Python, Spark, Hadoop and SAS. Work through “Practical Data Science with R” and you will learn a lot about the practice of data science. One of the big points of Practical Data Science with R is to supply a large number of fully worked examples. I also mentor data science students in R, and I'm a teaching assistant for online courses in both R and Python. Practical Data Science with R 1st Edition.





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