This an automatically generated DataCamp course. You can start from these template files to create your own course.
Changes you make to this GitHub repository are automatically reflected in the linked DataCamp course. This means that you can enjoy all the advantages of version control, collaboration, issue handling ... of GitHub.
A DataCamp course consists of two types of files:
course.yml
, a YAML-formatted file that's prepopulated with some general course information.chapterX.md
, a markdown file with:
To learn more about the structure of a DataCamp course, check out the documentation.
Every DataCamp exercise consists of different parts, read up about them here. A very important part about DataCamp exercises is to provide automated personalized feedback to students. In R, these so-called Submission Correctness Tests (SCTs) are written with the testwhat
package. SCTs for Python exercises are coded up with pythonwhat
. Check out the GitHub repositories' wiki pages for more information and examples.
Want to learn more? Check out the documentation on teaching at DataCamp.
Happy teaching!