Previous iterations of this course have covered other topics: over time we’ve added somethings at the expense of others. The collection below may be helpful for self-study.
The lecture below is a quick introduction to writing Shiny dashboards and apps, and dovetails with other interactive approaches:
Statistical learning is a really broad topic, and the subject of semester-length courses; this lecture is a quick intro with examples of the lasso and k-means clustering:
Some material on Tidy Text and text analysis extends ideas in Data Wrangling II:
There are two lectures on Writing R Packages that are relevant once you know how to write R functions: