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The Data Science Gap

I am pretty much sure that all of us would want a job after graduation as we think about our ROI before accepting a school offer. It seems like the demand for data science is high, even investment firms mostly from the sell side, are demanding such skills (according to what I have noticed). Some MFE programs have included classes and certifications that would fill this gap like MIT for example, and prep students for jobs in the industry. My question is, if I end up going to a school where this gap is ignored, what can I do to make sure I don't have such gap. Like what are the most important classes I should take, what should I focus on, assuming that I am doing this independently and my department isn't providing a solution.
 
A few of the folks I admired most in our MFE program came into it with loads of coursera data science / machine learning / ai courses. . .

. . .and extensive experience on kaggle, leetcode, and hacker rank.

CMU data science and machine learning have been legit from my point of view.
 
A few of the folks I admired most in our MFE program came into it with loads of coursera data science / machine learning / ai courses. . .

. . .and extensive experience on kaggle, leetcode, and hacker rank.

CMU data science and machine learning have been legit from my point of view.
"CMU data science and machine learning" are you referring the MS degree? I think CMU's MS in data is one of the best if not the best. So if you go to CMU as an MFE student, would you be able to take some of the data science classes as electives?
 
"CMU data science and machine learning" are you referring the MS degree? I think CMU's MS in data is one of the best if not the best. So if you go to CMU as an MFE student, would you be able to take some of the data science classes as electives?
I meant as part of the MFE (MSCF). Technically it's possible, and probably 25-35% did do courses in deep learning. These were very talented students, who had pretty much already been through the sto-cal courses that trip a lot of people up.
 
you need to get the skills before you get that job though, just sayin
you can do both. just saying that doing well on kaggle (or whatever else, kaggle has its flaws) is more indicative of what the job will be like than getting the piece of paper. at one point i thought the job was just solving probability puzzles because well that’s what the interviews are and then was in for a rude awakening. also if you get the job there will be tons of expectations and you don’t want to wash out in 2-5 years like the majority of ppl who get in do.

a slightly different perspective for thought
 
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if you get the job there will be tons of expectations and you don’t want to wash out in 2-5 years like the majority of ppl who get in do.

a slightly different perspective for thought
do you mean that people lose interest? or that they can't keep up with job expectations?
 
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