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VipulNaik comments on A Review of Signal Data Science - Less Wrong
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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?
One relevant consideration in such an evaluation is that Signal's policies with respect to various things (like percentage of income taken, initial deposit, length of program) may have changed since the program's inception. Of course, the program itself has changed since it started. Therefore, feedback or experiences from students in initial cohorts needs to be viewed in that light.
Disclosure: I share an apartment with Jonah Sinick, co-founder of Signal. I have also talked extensively about Signal with Andrew J. Ho, one of its key team members, and somewhat less extensively with Bob Cordwell, the other co-founder. ETA: I also conducted a session on data science and machine learning engineering in the real world (drawing on my work experience) with Signal's third cohort on Saturday, August 20, 2016.