I suppose this might be better place to ask than trying to resurrect a previous thread:
What kind of statistics can Signal offer on prior cohorts? E.g. percentage with jobs, percentage with jobs in data science field, percentage with incomes over $100k, median income of graduates, mean income of graduates, mean income of employed graduates, etc.? And how do the different cohorts compare? (Those are just examples; I don't necessarily expect to get those exact answers, but it would be good to have some data and have it be presented in a manner that is at least partially resistant to cherry picking/massaging, etc.) Basically, what sort of evidence E does Signal have to offer, such that I should update towards it being effective, given both E, and "E has been selected by Signal, and Signal has an interest in choosing E to be as flattering rather than as informative as possible" are true?
Also, the last I heard, there was a deposit requirement. What's the refund policy on that?
Subscribe to RSS Feed
= f037147d6e6c911a85753b9abdedda8d)
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.