But many (perhaps "most") intro stats classes don't involve any programming. So if you want to "implement" anything, an intro stats class may not get you there (even if it gives you a better foundation to understand what various statistical manipulations actually mean.)
Did you notice any specific weak areas?
Having said that, my Maths teacher self wants to do some work on the glossary. In the spirit of 'code talks' I'll post some definitions up and link them to the issue tracker and see what happens...
If you have internet connection you can learn Statistics, there is a lot of good resources. For example:
https://www.coursera.org/course/stats1 (maybe not undergrad level, but good place to start)
Just the other day I was thinking -- I end up losing in debates because I'm unable to cite data. Scraping and acquiring data is a key part of research, so I'm very much looking for a text that presents the big picture as well as the nitty gritty details from beginning to end.