A Workspace project is designed for learners to apply skills they have learned in a course or multiple courses to solve an end-to-end business problem. It is the final stage of the ALPA Loop (below).
Projects provide learners with the opportunity to hone their skills and knowledge by working through a typical data science workflow. Examples include cleaning data in preparation for predictive modeling, performing statistical tests to confirm or reject hypotheses, or querying a database to answer business questions.
The purpose of projects is to allow learners to work on their decision making skills alongside applying skills and techniques they have learned on DataCamp. Therefore, it is important that projects are designed in a way that learners can solve it in a number of ways rather than simply requiring them to read and follow a sequence of steps.
Additionally, projects serve as a way for learners to prepare for DataCamp Certification, where they will be required to complete a Practical Exam using Workspace.