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Tips for Making a Good Theoretical Course
Tips for Making a Good Theoretical Course

For Data Skills SMEs: Learn our content guidelines, which help create the best possible user experience for DataCamp learners.

Joanne Xiong avatar
Written by Joanne Xiong
Updated over a week ago

Tips for making a good theoretical course

Courses

Shorter courses are more digestible and have higher completion rates. We aim for courses to be completable within 1-2 hours. The following guidelines are in place to ensure that courses enable learners to apply their learning as quickly as possible.

  • A course should consist of 3 chapters.

  • A chapter should consist of 4 lessons, except Chapter 1 is 3.

Chapters

The first chapter should be concise, as it sets the tone for the course and is at the top of the funnel.

  • Chapter 1 should consist of 3 lessons with 8 - 12 exercises (recommended is 10).

  • Chapters 2 - 3 should consist of 3 or 4 lessons with 10 - 16 exercises (recommended 14).

Lessons

A typical DataCamp lesson comprises a video followed by 2-4 exercises.

  • Learning objectives are followed in each lesson.

  • The Ideal video is below 3-4 minutes, and its script contains less than 550 words.

Exercises

The title of an exercise needs to be concise and fit within a line in the interface.

  • All Exercises should have a title of 5 - 50 characters (recommended is 30) and be written in sentence case.

  • The exercise should be similar to the examples covered in the previous video, but should never be an exact copy and paste.

  • An exercise should never include a concept not covered in one of the previous videos (or prerequisite courses).

  • Theoretical exercises often include real-life narratives as a way to engage learners. You can find a good example of this in Communicating Data Insights.


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