By the end of the course, students will be able to:
- Transform raw educational data into meaningful formats for the purposes of understanding and improving learning,
- Apply proper visualization techniques on educational data to visually depict student engagement,
- Derive insights from educational data using statistics,
- Generate features (or variables) as the indicators of student engagement,
- Build a classification model for student success prediction.