Site icon R-bloggers

Who wants to learn R? Sharing DataCamp’s user stats and insights.

[This article was first published on DataCamp Blog » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

When building an online education start-up for R the number one criterion to meet is the following: identify an increasing interest in learning R online. Once this box is checked, it is time to start thinking of the second most important criterion: establish a teaching approach that makes people so excited that they keep coming back to learn more, thereby turning them, slowly but surely, into black-belt R masters.

In order to investigate how DataCamp is performing on both criteria, we decided to analyze our user data for February in more detail, and to open up and share the results via this (comprehensive) Slidify presentation. We put some effort in the visualizations as well, so all results are prettified via rMaps, rCharts and googleVis. (For the curious souls among us, the presentation also gives a unique view on the status of DataCamp back then.)

For DataCamp, February is one of the most interesting months so-far in terms of user data, as we added two new and free online interactive courses to our curriculum: Data Analysis and Statistical Inference and Introduction to Computational Finance. Courses that are/were also used as interactive R complements to the like-named Coursera courses. In February we welcomed over 14,000 new R enthusiasts, from a total of 163 countries. Our servers handled peak traffic of 1,000 requests per minute, and hundreds of concurrent users. Other insights that you will find in the presentation are:

Make sure to have a look, and if you want more information send your requests to info@datacamp.com.

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

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.