Cool yeah! I listened to the first three courses (Math for ML / Linear and Logistic Regression / Elements of Data Science) on my commute, and even though I thou

Cool yeah! I listened to the first three courses (Math for ML / Linear and Logistic Regression / Elements of Data Science) on my commute, and even though I thought I knew things, just persisting in "re-learning" the material helped a lot to fill in the gaps for me. I was just browsing the links again too, there's a whole lot of other courses/specialities after that too (if not posted there, maybe elsewhere). I am not an expert, but from what I've heard/seen, being really solid on the fundamentals of regression and feature modeling (and not being afraid to read and apply ArXiv papers) are all key. And eagerness and statistics go a long way and are valuable to companies.