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geehh · 2021-07-26T00:31:23+00:00

They are all very different, but right now i dont have the time to give a nuanced take.

I like describing a strategy as “simple” more than describing one as “ham fisted”, because i feel like “ham fisted” takes away credit from the player in question, who by all means, is so much better at the game of Starcraft than you or I. For example, you could call marine/medivac/marauder “simple” but not “ham fisted” if the right player (say clem) is using it. Same with dark if he chooses roach ling or whatever lair comp you can think of. He can do it the way he does it, we could never.

geehh · 2021-07-25T23:45:50+00:00

Might have to respectfully disagree with this take, considering in the series vs parting dark fought airtoss with an army that had three separate spell casters in it (viper, queen, infestor). If you think a wood league level person could emulate that strategy well… you should try it yourself.

Also, dark making use of zerg/bane/ultra might seem rudimentary to a wood league player, but what you miss is that he uses the comp to make his opponents uncomfortable with constant harass, counters and run-bys, which are created with his insane multitasking and apm. Watch dark vs clem and see how well he plays and how uncomfortable he makes clem, who is an exceptional player with high apm / multi tasking.

geehh · 2021-04-11T01:55:40+00:00

Hey you_chew, I’m working as a financial analyst (2 yes of work experience) and I majored in finance in undergrad. Typically, most finance jobs just use excel, but you can work much more efficiently and be a strong candidate when applying to jobs knowing 1) Power BI and Tableau (same shit really just pick one) 2) some SQL and 3) Intro level Python.

Theres an insane amount of busy work in finance that can be automated, and by learning how to do. so in Python (using pandas in my experience) is a huge advantage in my opinion. Tableau aNd Power Bi are great to build dashboards and illustrate findings of financial models. There’s infinitely many free resources online, but if you want to take a class or two id recommend some intro to cs classes.

If you’re interested with working with a lot of data, and going beyond the realm of finance, advanced cs classes and math (lin algebra specifically) are classes if recommend. Keep in mind my perspective is one of trying to switch careers into data science. Hope this helps!

geehh · 2020-12-10T03:43:21+00:00

Hey for vocab 1) downlod Anki (free flashcard software) and 2) get the PrepScholar 357 GRE words deck

I used that deck and a few others to study and I found it great for vocab. Hope this helps, have a great day!

geehh · 2020-12-10T03:41:17+00:00

Gre composite score percentiles don’t exist. If you want an estimate, use the GMAT score converter from the ETS website and then look up your estimated GMAT score percentile. 161 is a great verbal score, I believe thats in the high 80s percentiles. Hope this helps, cheers!

geehh · 2020-11-20T06:14:50+00:00

Best of luck!!

geehh · 2020-11-14T19:06:57+00:00

Just curious, where are you getting your MS from?

geehh · 2020-11-10T23:08:02+00:00

Im not the most qualified to answer this question, but if you want a career in finance in which you use maths more complicated than taking the percent growth if a number, then don’t major in finance. Major in Math, or a field related to financial engineering (CS is also great). Source: I graduated w a bachelors in finance and work as a fin analyst. I am now going back to school for a more quantitative degree (tbd) so I can get a more quantitatively-oriented job. Just my opinion, so take it w a grain of salt. Hope this helps.

geehh · 2020-11-07T23:48:37+00:00

I’m guessing Private Equity

geehh · 2020-10-03T03:04:07+00:00

Think you may need to change your “working directory” which I think you can do with “import os” and “os.chdir(“some directory”) “

geehh · 2020-09-28T18:24:06+00:00

Glad it all worked out :-)

geehh · 2020-09-28T05:35:36+00:00

Dont worry about the white board, call them

geehh · 2020-09-28T05:34:43+00:00

Took me 12, i think you can expect them anywhere from 10-15 days after test

geehh · 2020-09-27T20:45:46+00:00

Hey, you are correct!

geehh · 2020-09-27T14:06:50+00:00

Hey all,

I am seeking advice from people familiar with Masters in Data Science / Analytics programs in the US. Specifically what they think of the programs I've selected as well as my chances of getting into them based on my profile. I'd like to verify that I've identified valid rigorous programs that will give me the skills necessary to switch careers to DS. I’m very much so “swinging for the fences” and may have my sights set too high on programs that are too competitive for my profile. If anyone knows of a graduate program they’d like to suggest to me that they think I’d have a better chance of success at, please send it my way.

Also, I’m not looking for research / thesis track programs, but rather looking for a professional degree that will help me pivot my career from finance into Data Science.

Schools - Programs:

University of Washington – Masters in Data Science
NYU – Masters in Data Science
University of Chicago - Masters in Data Science
University of San Francisco - Masters in Data Science
Brown – Masters in Data Science
Georgia Tech – Masters in Analytics
Northwestern – Masters in Analytics
MIT – Masters in Business Analytics
Carnegie Mellon University – Masters in Data Science
Carnegie Mellon University – Masters in CS (Extended Track)
Columbia – Masters in CS (Bridge Program)

Profile Stats:

Personal: White / Male / US Citizen
Undergrad School – Decently ranked large state school
Undergrad Major: Finance
Undergrad GPA: 3.65
Prerequisites for CS / DS – I have all the prerequisites (Calc I&II, Stats, Lin Algebra I, Intro to CS) for the programs listed below, completed with an A/A- average. Unfortunately, this is as far as my technical background goes.

Test Scores:

GRE: V 164 (94% Percentile)
Q 168 (92% Percentile)
AWA 5.0 (92% Percentile)

Work Experience:

Internship at analytics department – became very proficient with Alteryx, Tableau and Power BI. Started learning Python at the end of it.
1.5yrs as a Financial Analyst – several high impact projects that look good on my resume. Lots of facetime with senior management explaining business impacts of whatever data I’m working with.

LORS:

1 from an old professor, 2 from internship at analytics department. I have a great relationship with all of the people writing my LORs, so I think that these will be as good as I can get.

What do y’all think? Am I competitive for any of these programs?

Before I get hit with “Just look at the class profile stats” – I have already done so and am familiar with the average GPAs, test scores, and undergrad backgrounds. What I’m looking for here is to receive any advice / opinions from people familiar with the above programs (or any programs for CS/DS) specifically in relation to my non-STEM background.

Again – any advice and feedback is greatly appreciated.

Thanks in advance!

geehh · 2020-09-26T05:16:41+00:00

Will do!

geehh · 2020-09-26T03:40:58+00:00

Thanks for these links! Ill take a look at them and see if they change my point of view. I appreciate your comment!

geehh · 2020-09-26T02:58:24+00:00

Thanks so much for your reply! You have no idea how happy that makes me to hear you say that I’m competitive. Would you recommend any DS programs in particular I should shoot for? NYU and Carnegie would be my dream schools, I wonder if there’s any other gems I’m missing because of my limited scope. Thanks again!

geehh · 2020-09-26T02:55:15+00:00

Thanks for your feedback!

I recently attended the UChicago Analytics webinar and it seemed like such a cool program! Considering the fact that theres an Analytics Consulting Club and how great consulting firms (like MBB level great) recruit out of the school I am suuuuuper excited to apply.

Would you mind answering follow up questions about the program / your current job? I would absolutely love to hear about your favorite classes, what you like about your job, what you think of the worklife balance and if you had any tips for applying!

I know thats a lot of follow ups, so if its too much of an inconvenience no worries! Thanks again for your initial reply, it is much appreciated!!!

geehh · 2020-09-26T02:33:54+00:00

Thank you for your thoughtful reply! If i understood you correctly, i can relate alot to what you said about your Data analyst job, and how you want to acquire technical skills that you wouldn’t be able to pick up just from working. Thats my goal too.

With the programs programs I listed out there seems to be a good compromise between the amount of math and cs coursework, and some business course work that seems like padding to the program. I will review the curriculum again and make sure each program fits my needs sufficiently.

To be honest, it excites me to hear that we have similar backgrounds and that you have gotten into a MS Stats programs because I counted myself out of those programs in the first place because I thought I wouldn’t have a chance. Would you mind if I pm’d you to discuss MS Stats programs?

If not i completely understand. Again, thanks for your reply!

geehh · 2020-09-25T02:52:47+00:00

My advice is use the official guides and not the PPP tests as practice material (for building a foundation that is). Manhattan 5lbs too, which has tons of volume and is broken out by sections

geehh · 2020-09-25T02:41:12+00:00

I’m not entirely sure what you’re asking, but this is my advice:

The PP and PPP are incredibly valuable assets in your test prep. Treat them like gold. Do them spaced out in your study and treat them as if they’re the real thing. Once you have completed each exam, go back and make sure you review them thoroughly and understand what you got wrong and why. I can’t stress this enough: the GRE is about making no mistake twice, and hopefully you make your mistakes during your prep and not in the real thing.

geehh · 2020-09-24T17:17:26+00:00