FUNDAMENTAL STATISTICS IN LEARNING ANALYTICS
Logic and methods of statistics used in the field of learning analytics. Emphasizes concepts and application rather than computational details to build fundamentals in the areas of inferential statistics. Reliability and validity, scalability, and the implications of inference in applied statistical methodology.
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Summer 2026 Learning Outcomes: 1. Explore the foundations and practical use of statistics in learning analytics practice and research Audience: Graduate 2. Understand how to apply quantitative reasoning to learning analytics topics Audience: Graduate 3. Practice working with introductory descriptive statistics, probability, and statistical inference Audience: Graduate 4. Acquire a working fluency with statistical theories, concepts, and terminology in learning analytics Audience: Graduate Learning Outcomes: 1. Explore the foundations and practical use of statistics in learning analytics practice and research Audience: Graduate 2. Understand how to apply quantitative reasoning to learning analytics topics Audience: Graduate 3. Practice working with introductory descriptive statistics, probability, and statistical inference Audience: Graduate 4. Acquire a working fluency with statistical theories, concepts, and terminology in learning analytics Audience: Graduate
Sources
- Course catalogue ↗2026-2027