R tutorials, Datacamp, and the new look of learning R

July 13, 2016

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

Now that we have reached the milestone of 30,000 (!) enthusiastic R students, and that the DataCamp platform is paving its way into academics and professional organizations, we felt that it was time to take our design to a higher level. So as of this week, your favourite free learning platform for R tutorials and data science will have a totally new look and feel!You will immediately notice a cleaner, lighter design that is centred around the individual student and his progress. Once logged in, you can now easily navigate between 60 hours of free interactive R content, be updated on our latest R learning materials, and continue your own study path with just one-click. Under the hood we still run good ol’ R in the cloud, supported by a portfolio of other open-source software llke AngularJS and NodeJS.R tutorialsSome of the main improvements are:

  • A completely redesigned learning environment. Now a student can easily navigate between exercises and chapters within the same view. So (s)he can finish a complete course without leaving the learning environment.
  • A more prominent place for the different gamification elements. This way, a student’s journey is spiced up with rewards and social sharing.
  • A cleaner interface to manage and create your own interactive R courses. The updated documentation to create your own courses is now on GitHub.

This new design is only part of a bigger movement. Over the upcoming weeks and months we will release more R candy such as short screencasts, an updated version of our submission correctness tests, and of course new interactive R tutorials.We hope that you will enjoy it!

To leave a comment for the author, please follow the link and comment on their blog: DataCamp Blog.

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)