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Exactly. The data is about the backgrounds of data scientists, but is incorrectly interpreted as the probability of becoming a data scientist given a certain background. Obviously the two are related (Bayes' theorem), but to draw any conclusion one would need to know the number of PhDs, Masters, etc. that are applying to become data scientists. For example, the fact that a small fraction of data scientists has a MOOC degree does not imply that the probability of becoming a data scientist if having "only" a MOOC degree is low. For all that we know the few people in the market having this kind of non-traditional preparation could have 100% success rate in getting those jobs.

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