R for Data Science by Garrett Grolemund, Hadley Wickham

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

Click here to view the original and commented version. Project-based tutorials with step-by-step instructions and examples. The great team over at DataCamp, an online site for learning R , has put together another wonderful infographic. Wondering whether you should use R or Python for your next data analysis post? In the battle of "best" data science tools, python and R both have their pros and cons. 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. Learn how to do data science with R. Check our infographic "Data Science Wars: R vs Python". Choosing the right language for data analysis can be almost as complicated as actually learning the language. The path includes exercises, tutorials & best practices. Topics in statistical data analysis will provide working examples. With this O'Reilly report, you'll learn the basics of manipulating data and constructing. I also mentor data science students in R, and I'm a teaching assistant for online courses in both R and Python. Take free online R Programming is course 2 of 10 in the Data Science Specialization. Practical Data Science with R lives up to its name. Learn the fundamentals for R programming and gain the tools needed for doingdata science. Use the R Programming Language to execute data science projects and become a data scientist. Learning path on R provides a step by step guide to become a data scientist using R.