This course follows a different format than many of the courses offered at Code School. There are no videos to go along with the levels, instead it is only written tutorials and challenges.
Courses are always made available which means there is no waiting for the specific course you want to run. You can work through the courses as fast or as slow as you want.
If you enjoy R Basics and Udemy, then you might want to check out the large variety of other R courses offered by Udemy. They offer over 100 different courses on R, 11 of which are free to take.
this is a good course but there are better free courses on R like dis one - FREE #rstats course on DPLYR
https://www.udemy.com/dplyr-r-package-introductory-r-course-on-data-analysis-in-r
Everything on the website is for free and it covers quite a lot of what people new to R might want to do at the start. At least if they are interested mainly in statistical analysis (and less in R programming).
If people know the basics or come from different applications Quick-R is especially helpful, because people that know what they are looking for, will find easy guides on how to do certain things in R.
Quick-R is a nice resource if you want to learn quickly how to do basic statistic analysis. However there is little information on programming or basic principles of R as a programming language.
edX does not have the same forum participation from both students and instructors that other websites do, and the form of engagement often does not encourage discussion.