A significant portion of the R Essential Training Part 2: Modeling Data focuses on classical statistical tests to determine if observed differences are significant.
The course concludes with machine learning techniques, teaching k-means and hierarchical clustering for grouping data, as well as k-nearest neighbors and Random Forest for classification tasks. Why This Course Matters linkedin r essential training part 2: modeling data