Hey folks, I'm new to many things here. New to Quantopian, new to Python and New to algo trading altogether. I'm currently taking courses in quantitative finance (CQF) and I intend to major algo trading. I was referred here for back-testing of models and data mining. I'm almost overwhelmed by the amount of info I need to absorb, though I still find I all very fascinating.
Kindly advise the best way to use the resources here for a newbie. I can see the tutorials which seems to focus more on the API while the lectures seem to take the basics. I don't want to assume the lectures should come first and would appreciate your counsel.
Regards
Dele