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.
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.