When one builds an online education start-up around R tutorials, 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.)
- Number of chapters started and finished by course
- Geographical distribution of the DataCamp user base
- Spillover effect across courses
Make sure to have a look, and if you want more information, send your requests to [email protected].