gaspersic/freeCodeCamp
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Added resources for learning R (#24926)

Browse Source
This commit is contained in:
Chris
2018-10-25 20:48:53 -04:00
committed by Eric Leung
parent 331cde2927
commit b3ea359071
1 changed files with 13 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

23
guide/english/r/index.md
View File

@ -18,16 +18,19 @@ Now install it on your computer. For help in installation refer to reference sec
* [Shiny](https://shiny.rstudio.com/) framework for building dashboard style web apps in R.
## Where to learn R for free
* [R Studio](https://www.rstudio.com/online-learning/)
* [Code school](http://tryr.codeschool.com/)
* [Coursera -allows to audit course for free but certification is paid.](https://www.coursera.org/learn/r-programming)
* [DataCamp -allows to complete the introductory part for free.](https://www.datacamp.com)
* [R for Data Science -is a book which is available free to read online.](http://r4ds.had.co.nz/)
* [Mastering Software Development in R -is a free e-book addressing the Tidyverse among other topics](https://bookdown.org/rdpeng/RProgDA/)
* [edX -allows to audit course for free but certification is paid.](https://www.edx.org/learn/r-programming)
* [Advanced R](https://adv-r.hadley.nz/)
* [RSeek](http://rseek.org/)
* [Udemy](https://www.udemy.com/r-basics/)
* [R Studio](https://www.rstudio.com/online-learning/)
* [Code school](http://tryr.codeschool.com/)
* [Coursera -allows to audit course for free but certification is paid.](https://www.coursera.org/learn/r-programming)
* [DataCamp -allows to complete the introductory part for free.](https://www.datacamp.com)
* [R for Data Science -is a book which is available free to read online.](http://r4ds.had.co.nz/)
* [Mastering Software Development in R -is a free e-book addressing the Tidyverse among other topics](https://bookdown.org/rdpeng/RProgDA/)
* [edX -allows to audit course for free but certification is paid.](https://www.edx.org/learn/r-programming)
* [Advanced R](https://adv-r.hadley.nz/)
* [RSeek](http://rseek.org/)
* [Udemy](https://www.udemy.com/r-basics/)
* [Quick R](https://www.statmethods.net)
* [Swirl Courses](https://swirlstats.com)
## Reference
* [Installing R on Windows](http://youtu.be/Ohnk9hcxf9M)