Thanks for this, but is there any way I can download the spreadsheet.
Remove everything after the first slash. Then download from the menu.
Stanford Degrees in Statistics
41–48 of 48 posts
Re: Stanford Degrees in Statistics
#42Earlier quoted context omitted.
Grad school, if your ultimate goal is not academia, will most likely be an irresponsible use of your time.
Care to qualify that? Surely any irresponsible use of time is a personal deficit, not a graduate curricula's. From a complexity barrier perspective, consider a career in ASIC design. From a market saturation perspective, consider a career in any discipline of psychology.
I am taking the simplistic view, and looking at the numbers from very simplistic view. Depending on what you expect out of Phd, advancing your knowledge might mean worlds to someone, but you could learn much more practical experience in those 5 years. It's up to someone's opinion.
Let me rephrase and probably further restrict what i mean: - If you want to work in big four(which was my assumption from Big4+Unicorn piece), you are better of not doing PHD in terms of progress careerwise. here is the reasoning, using some numbers i have seen around: - Big 4 usually let's you start Level N straight out of school. If you do PHD, they let you start Level N+1. Master's doesn't change anything, you still start Level N. - Phd takes (approximately) 5 years. - Promotions take 1-2 years, depending on your ambitions, your manager etc. Assume 1.5 years. - With the above numbers, instead of 5 years in PHD and start at LN+1, you could easily get to LN+3. If you are ambitious, you could get at least one promo in 1 year, which would put you in 1 year into LN+3, making you close to LN+4.
In all these 5 years, you'll also be banking stock refreshers, people would get to know you well, you could build reputation, and you would have a good chunk of money in the bank.
If you are targeting starting your own company, depending on what it is, phd might help (taking phd topic and making a company out of it is common). However, I believe, you could do much more in those 5 years, and you wouldn't have to go through emotional ride of graduate school as an extra stress.
Again, it all depends on what you want with phd. if your goal is working for FANG, 5 years of your youth is worth more than a phd.
Re: Stanford Degrees in Statistics
#43This 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?
> 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_MNmIGY7yzrpnStnZqz... I only did the suggested courses for the Data Science track in the MS Stats program. Feel free to d…
This is very helpful too. This deserves to be in a website :)
Re: Stanford Degrees in Statistics
#44Earlier quoted context omitted.
How helpful is just being named on the paper? I've been working on a project for a year that just had its submission, not sure if I should try for good grad schools though or just target industry (Big4+Unicorn) instead.
Grad school, if your ultimate goal is not academia, will most likely be an irresponsible use of your time.
I'm really interested in ML, so I'd like to try my hand at an MS at minimum - getting into an ML team should be pretty difficult without specific domain knowledge. If I don't like it, I'd just go into industry directly afterward.
Re: Stanford Degrees in Statistics
#45Earlier quoted context omitted.
A 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 yo…
The 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.
Thanks! The classes are done. Hope to finish the PhD within the year.
Re: Stanford Degrees in Statistics
#46Earlier quoted context omitted.
A 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 yo…
I'm doing something similar. What degree program were you accepted into (MS, PhD) and what field?
PhD in Mechanical Engineering - how about you?
Re: Stanford Degrees in Statistics
#47Earlier quoted context omitted.
How helpful is just being named on the paper? I've been working on a project for a year that just had its submission, not sure if I should try for good grad schools though or just target industry (Big4+Unicorn) instead.
In the asymptotic words of someone else[1]: I don't see why you think it's such a great accomplishment -- all my friends have a Ph.D! A very relevant read FWIW. [1] https://www.cs.purdue.edu/homes/dec/essay.phd.html
Eh, I'm personally more interested in an MS first, then see if I'm better suited for industry or full time research.
Re: Stanford Degrees in Statistics
#48Earlier quoted context omitted.
I'm doing something similar. What degree program were you accepted into (MS, PhD) and what field?
PhD in Mechanical Engineering - how about you?
Aiming for PhD in Computer Science. Really like the mathematical side but want to apply it to solve real software engineering problems.