This year as part of Covid-enforced “digital transformation” I ended up writing longer tutorial notes than usual so that students could work at their own pace. The module I teach assumes that students have already taken an intro stats course using software other than R, covering up to regression, but that they are likely to have forgotten how to do the latter.
The core texts I use are Fox and Weisberg (2019), An R Companion to Applied Regression (Third Edition) and Healy (2019) Data Visualization: A Practical Introduction – both excellent.
These notes add explanations where students were likely to be struggling and exercises with solutions.
I’ll be putting them all online over here.