Data Science

Funny coincidence: Yesterday, I started reading Doing Data Science by Cathy O’Neil and Rachel Schutt. The book came out of the Introduction to Data Science class at Columbia. I’ve only made it through the first two chapters of the book so far, but I’m already very tempted to recommend the book, because the first chapter is almost completely dedicated to the hype around data science, or rather: how little sense this hype makes. And the first two chapters were both very informative and fun to read, so I’m looking forward to make it through the rest of the book.

Then, this morning, as I flip through my news reader, I come across this post at FlowingData: Data scientist surpasses statistician on Google Trends:

Statisician-vs-Data-Scientist2

I don’t really know whether this is based mostly on the hype around data science, but since there are actual jobs out there for data scientists and even whole MSc programs, there must be something to it. And I have a hunch that the role of GIScience in data science has been underestimated so far. If that famous 80% quote is true (which I think it is, at least roughly), we have the tools to deal with a whole lot of the data out there.

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