Hi, thanks a ton for the detailed response. Luckily I don't really need a Stats 101, so I don't think I'll mind him jumping around. If, of course, it does get a bother I know which course is right for me. Till then I'm also doing a bit of Thrun's Udacity Stats course on the side.
I would actually appreciate a list of resources in Python, that's what I like using most! I have downloaded a copy of "Think Stats", but haven't gone through it yet.
Sorry for the late response, I completely forgot about this post!
Looks like you're on the right track though, "Think Stats" and Udacity's stats class were the main things I was going to recommend. I'd also recommend checking out IPython's web notebook for inline charts and general awesomeness, and the Pandas library for an R-style data frame built on top of NumPy. The best resources for learning about IPython are probably screencasts, and the author of Pandas has a book out named "Python for Data Analysis" that covers IPython, NumPy, Pandas and some matplotlib.
I would actually appreciate a list of resources in Python, that's what I like using most! I have downloaded a copy of "Think Stats", but haven't gone through it yet.