Although the debate between Frequentist and Bayesian statisticians sometimes takes a more comical turn (XKCD strip), it is still important for a data scientist to know a few things about Bayesian Stats. Of course, purists of the craft will argue that Frequentist Stats will suffice but if you want to stand out of the crowd, it would definitely help going beyond the beaten path, when it comes to data analytics know-how.
This video I made recently highlights the key elements of Bayesian Stats, focusing on the concepts that although fairly straight-forward, may be obscure to the newcomer. Also, without disregarding the invaluable contribution of Frequentist Stats to data science, this video explores how the two differ and how Bayesian Stats has a lot in common with other, more modern, data analytics frameworks. Check it out when you get the chance!
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Zacharias Voulgaris, PhD
Passionate data scientist with a foxy approach to technology, particularly related to A.I.