— Design to Data: Statistics for Modern Neuroscience
Statistical methods and applications for neuroscience. Quantitative foundations covering key concepts, methods, and applications, from descriptive analysis through data science. Statistical considerations in experimental design, analysis and statistical testing in hypothesis and data-driven contexts, and responsible conduct of research in the acquisition, storage, analysis, and presentation of scientific data.
Prerequisites & course information
Course Description: Statistical methods and applications for neuroscience. Quantitative foundations covering key concepts, methods, and applications, from descriptive analysis through data science. Statistical considerations in experimental design, analysis and statistical testing in hypothesis and data-driven contexts, and responsible conduct of research in the acquisition, storage, analysis, and presentation of scientific data. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027