Methods: Research Design
A perfect analysis of a badly designed study is still a badly designed study. This course covers the half that happens before any data exist: turning a vague curiosity into a testable hypothesis, deciding what to actually measure, and choosing a design that can answer the question you asked.
Where the Statistics Core teaches the tests, Methods teaches the decisions that determine whether those tests mean anything: reliability and validity, randomization, the trade-off between between and within designs, and the honest limits of quasi-experiments and observational work. The last three lessons take the replication crisis seriously and show what preregistration fixes.
No statistics prerequisite; a curiosity about how good studies get built is enough. It pairs naturally with the Data and Writing courses, which cover what happens once the data arrive. To see these decisions made in sequence on one real study, read One Study, Start to Finish.