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gjm comments on A Review of Signal Data Science - Less Wrong Discussion
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Hello! I'm a cofounder of Signal Data Science.
Because our students have come into the program from very heterogeneous backgrounds (ranging from high school dropout to math PhD with years of experience as a software engineer), summary statistics along the lines that you're looking for are less informative than might seem to be the case prima facie. In particular, we don't yet have meaningfully large sample of students who don't fall into one of the categories of (i) people who would have gotten high paying jobs anyway and (ii) people who one wouldn't expect to have gotten high paying jobs by now, based on their backgrounds.
If you're interested in the possibility of attending the program, we encourage you to fill out our short application form. If it seems like it might be a good fit for you, we'd be happy to provide detailed answers to any questions that you might have about job placement.
Wait, your category (ii) is surely exactly what we care about here. We want to know: For someone whose background would lead you not to expect high-paying data science jobs, is Signal effective in getting them a better chance of a high-paying data science job?
Yes, I see how my last message was ambiguous.
What I had in mind in bringing up category (ii) is that we've had some students who had a priori worse near term employment prospects relative to the usual range of bootcamp attendees, who are better positions than they had been and who got what they were looking to get from the program, while not yet having $100k+ paying jobs. And most students who would have gotten $100k+ paying jobs even if they hadn't attended appear to have benefited from attending the program.
The nature of the value that we have to add is very much specific to the student.