Tuesday, 4 January to Friday, 11 March 2022
Instructor: Prof. Dr. Richard McElreath
Lectures: Uploaded and pre-recorded, two per week
Discussion: Online, Fridays 3pm-4pm Central European Time
This course teaches data analysis, but it focuses on scientific models first. The unfortunate truth about data is that nothing much can be done with it, until we say what caused it. We will prioritize conceptual, causal models and precise questions about those models. We will use Bayesian data analysis to connect scientific models to evidence. And we will learn powerful computational tools for coping with high-dimension, imperfect data of the kind that biologists and social scientists face.
Format: Online, flipped instruction. The lectures are pre-recorded. We'll meet online once a week for an hour to work through the solutions to the assigned problems. We'll use the 2nd edition of my book, <Statistical Rethinking>. I'll provide a PDF of the book to enrolled students.
Course info: https://github.com/rmcelreath/stat_rethinking_2022
For participating regularly and doing all homework sets, PhD students can get 2 ECTS.