Stats 3: Advanced Modeling
One predictor rarely satisfies anyone. Stats 3 is the regression course: twelve lessons on models with several predictors, categorical predictors, interactions and covariates, and on the questions that follow. Which variables belong in the model? What if the outcome is yes/no? What if two predictors are secretly the same thing?
This is the level most honors and thesis projects actually need, since multiple regression is the workhorse of survey-based research. You'll also meet its multivariate relatives (factor analysis and PCA, MANOVA), learn to read residual plots like a mechanic listens to an engine, and compare competing models instead of defending one. Come with the Stats 2 material fresh, especially simple regression.
From here the Core finishes with Stats 4, and the ML & AI course reuses these exact models for prediction.