New Expansion of the R Course Finder!

November 4, 2016
By

(This article was first published on R-exercises, and kindly contributed to R-bloggers)

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On the 1st of september we launched R course finder, an online directory that helps you to find the right R course quickly. With so many R courses available online, we thought it was a good idea to offer a tool that helps people to compare these courses, before they decide where to spend their valuable time and (sometimes) money.

If you haven’t looked at it yet, go to the R Course Finder now by clicking here.

Over the past month we have further expanded the courses available in the Course Finder. Currently we are at 118 courses on 12 different platforms, and 2 offline Learning Institutes.

We expanded the Course Finder across nearly all the platforms! Also there were some courses we we’re excited about and wanted to highlight:

Highlighted Courses

  • Advanced R Programming

  • This course offered by Coursera is part of the ‘Mastering Software Development in R Specialization’. When indexing it and reading thru the syllabus it got me excited to follow the complete specialization. We also added the other courses which include one on package building!

  • Statistics with R – Advanced Level

  • This is an udemy course that still starts of somewhat easy with ANOVA and other mean comparison techniques, but the expert level is reflected in the quick pace and fast steps to more advanced material. Furthermore you can also find the beginner level in the Course Finder here

But we want to keep going! If you miss a course or know of a different platform we want to know, so we can keep adding to the most complete directory of R courses available online.

How you can help to make R Course Finder better

  • If you miss a course that is not included yet, please post a reminder in the comments and we’ll add it.
  • If you miss an important filter or search functionality, please let us know in the comments below.
  • If you already took one of the courses, please let all of us know about your experiences in the review section, an example is available here.

And, last but not least: If you like R Course Finder, please share this announcement with friends and colleagues using the buttons below.

To leave a comment for the author, please follow the link and comment on their blog: R-exercises.

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