As someone who's teaching data-analysis-oriented classes, I peruse a lot of open syllabi...and this was one of the most well-organized and easy to read that I've found. I'm strongly hesitant to teach R...preferring Python because it's closer to languages that I'm used to, and for its general-purpose utility...but reading through these lessons, it's hard not to be awed by what R can do, particularly in visualization.
This demonstration of using R to geocode (via the ggmap extension of ggplot2) was particularly cool (and also, as an example of the OP's organized notes, includes a copy of the data since the original link went dead): http://f.briatte.org/teaching/ida/101_geocoding.html
This demonstration of using R to geocode (via the ggmap extension of ggplot2) was particularly cool (and also, as an example of the OP's organized notes, includes a copy of the data since the original link went dead): http://f.briatte.org/teaching/ida/101_geocoding.html