By the end of the course, students will:
- Identify and describe key factors affecting and informing the design and implementation of learning analytics interventions,
- Be familiar with the basics of collecting, cleaning, transforming, managing, and analyzing educational data,
- Be familiar with some of the popular data analytic techniques, including clustering, predictive models, text analysis, process mining,
- Develop awareness and skills necessary for applying learning analytics.