Descriptive summaries & visualizations (freq, proportion, crosstabs, bar/pie/mosaic/waffle)
Explaining variation, simple & multiple linear models, categorical predictors, correlation, and prediction
The logistic regression model, interpreting coefficients (odds & odds ratios), fitting models in R, and predicting probabilities.
Descriptive stats & visualizations for quantitative variables (mean/median, spread, hist/box/scatter)
A list of R packages used to run this course.
