as we're on the subject, what are your guys' thoughts on somebody who (like me) has an unrelated degree but wants to go into comp sci (specifically machine learning.)
is it worth it to go back to school and get a second bachelors, or is what i'm doing (taking a bunch of edx/coursera/etc classes in fulfillment of something like
this) sufficient? would doing that and attempting to deploy something signifigant using programming applications at my work get me in the door somewhere?
i suppose career objectives are of course a big variable here. i work in finance currently (econ background) in a senior analyst role for a large company doing strategic operations analysis (think consulting like mckinsey, bcg, but inhouse for a large company in consumer disc.) when i was interviewing for this job i got a couple interviews at a place called cogo labs which is a start up incubator, at two of their firms (adharmonics and i forget the second.)
i ended up getting an offer that was pretty solid at my current firm so i had to abruptly cut short that process, but the more i realize it as i sit here combing through project euler questions i desperately wish i knew how to answer, or listening to an edx basic course on comp sci, or a youtube lecture on discrete math, this is definitely the field that i wanted to be a part of. not so much the corporate strategy / beancounting / analysis and planning side but more the actual algorithmic math/stat/comp sci based world where problems are taken in and answered with math and intuitive code. data science is an alternate field im also interested in (for obvious reasons), but my statistics is hilariously weak compared to most in that field (ive only had like 2 classes in econometrics.)
sorry for the rant but any thoughts? im currently 26, make like 80k/y, no student loan debt because of full scholarship at previous university. i suppose if i were truly interested i would have dropped the current job offer and pursued the startup incubator in full because that is exactly the culture i want to be a part of. super young. super intellectually curious, constantly uncomfortable because of new ideas and methods rather than relying on archaic and silly excel models. etc. but i was uncertain that with my shaky stat background compared to people with like masters in stat and econ that i would just get there and be thrown in without a life vest whereas here i can get paid (better) and enjoy some freedom with learning outside stuff because i think my work is fairly easy from an intellectual standpoint compared to what people traditionally do in your field; affording me less stress and more time. ironically people in my field are super stressed out for some reason, but i think compared to how hard the questions that are being asked in the comp sci/math space, its pretty hilarious.