5 ms·
This is very helpful to me, and I bet to many that want to get into Data Science the right way. A big "thank you" to whoever put this together. What are we loo
by tbatchelli 10y ago
This is very helpful to me, and I bet to many that want to get into Data Science the right way. A big "thank you" to whoever put this together.
What are we looking here for someone that wants to learn all this while keeping a full-time job? 3 years?
- b_emery 10y agoA class per 10-12 weeks is a reasonable pace with a full time job. I did a lot of my course work prior to enrolling in graduate school this way. There were a lot of late nights powered by chocolate chip ice cream and the light of my monitor, followed by not-very-productive days at work. Being enrolled helped - in my case through an extension program. Sometimes you need other people to explain things, and sometimes you need to have something to lose - just to keep you going.
- legoartwork 10y agoI'm doing something similar. What degree program were you accepted into (MS, PhD) and what field?
- b_emery 10y agoPhD in Mechanical Engineering - how about you?
- legoartwork 10y agoAiming for PhD in Computer Science. Really like the mathematical side but want to apply it to solve real software engineering problems.
- laichzeit0 10y agoThe fact that you complete it says more about your character than the courses you did. Not everyone has the determination to _finish_ things. I applaud you.
- b_emery 10y agoThanks! The classes are done. Hope to finish the PhD within the year.
- llasram 10y agoI've been enrolled in an MS Statistics program part-time while working full-time. I'm around half-way done, and by the end it will have taken me three years total taking two classes at a time, although that includes a few extra courses beyond what the program strictly requires.
- achompas 10y agoAbout that, yeah. It took me three years to finish my Masters in CS part-time with a 9-5.
- wyldfire 10y ago> whoever put this together I posted it but the heavy lifting was all /u/aormiston on /r/pystats: > I just finished scraping all the required and optional readings (textbooks mainly) from nearly every Stanford undergraduate and graduate level stats course. https://docs.google.com/spreadsheets/d/1d_MNmIGY7yzrpnStnZqzzYUJc6znWUysfaVTKOvSQSk/edit?usp=sharing https://docs.google.com/spreadsheets/d/1d_MNmIGY7yzrpnStnZqz... I only did the suggested courses for the Data Science track in the MS Stats program. Feel free to do the others and leave links in the comments if you like. This isn't exhaustive (some courses were harder to find than others), so this'll likely be a living document. Feel free to send me anything I've missed or better texts for any subject that I should add to the document. Also, for free technical textbooks, I've found freecomputerbooks.com to be very helpful (despite the fact that it sounds like clickbait). I'd recommend you check that out before shelling out for any of the textbooks listed.
- tbatchelli 10y agoThis is very helpful too. This deserves to be in a website :)