R Course Finder update

October 1, 2016

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

eye-15699__180A month ago 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.

With your help and input we have improved it over the past month. As of today it consists of 93 courses on 12 different platforms on the web, and 1 offline learning institute.

This month we added courses from:

  • Pluralsight
  • NYC Data Science Academy

The NYC Data Science Academy is our first addition of an offline course. If this is something you are interested in and want to see more of, please let us know!

The R Course Finder allows to filter courses based on these filters:

8 Filters

The R Course Finder allows to filter courses based on these filters:

  • Level
  • Content
  • Duration
  • Price
  • Learning tools
  • Institute
  • Platform
  • Online/offline

Clever search box

Perhaps even better is a clever search box, which shows results immediately while you type. Just give it a try!



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 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.
  • If you miss a course that is not included yet, please post a reminder in the comments and we’ll add it.

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.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)