I attended the first GA Data Science course to be offered in the DC area in the spring of 2014.<p>Back then, the course was 3 months long, two nights a week, from 7PM to 10PM on Tuesday and Thursday nights. The first part was all R, and the second part was all Python (Scikit learn, etc).<p>I got a lot out of it, but it was a TON of work. Outside of class, I was spending 2 - 3 hours a night doing homework. The teacher was great, and he made extensive use of Git for all assignments. Homework was submitted via commits to a class repo.<p>Other students who came into the course got less out of it, mainly because they didn't have ANY background in programming, or because they simply didn't put in the work.<p>Overall, I think it was awesome for me, but it's like anything else: You get out of it what you put into it.<p>Edit:<p>I just noticed the repo was created by Kevin Markham!
He was in my class, and the dude is friggin brilliant!