How can I (a CompSci grad student) self-teach statistics?

As someone coming from a Computer Science background, how do I get up to speed on statistics beyond basic stats and probability?

I mean, I have a vague recollection of linear regression and hypothesis testing from way back in undergrad, but what is next?

It is fairly easy now to teach yourself the coding angle of machine learning and data science online (through documentation and things like coursera), but where should the autodidact go for the statistics?

I assume a good first step would be to plow through a textbook... Does anyone have a recommendation?