The pitfalls of data science (and how you can avoid them)


Depending on who you ask, you’re going to hear data science described as being sexy by some, and decidedly not so by others. Sexy, I suspect, because in today’s geekdom-loving world, we imagine the lab coats have finally turned their laser-like, academic precision to the final economic frontier, data, and the dam holding back all those dollar-laden insights from that data is about to burst. Decidedly unsexy, because for the most part, the work is laborious, boring, messy, and easy to trip up on. As you might expect, the reality is somewhere in between sexy and not (but definitely right of…

This story continues at The Next Web

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