A great overview of the data scientist role, something I aspire to be. There are some great links and talking points in the comments that follow the article as well. For those of us that don’t aspire to fit in the traditional silos and may be having a tough time understanding and selling the data scientist skill set, this is pretty inspirational.
Some follow up thoughts from Mike Loukides, a really thoughtful and long read that has some great technical examples of a data scientist as well as some of the more intangible qualitative aspects of the role.
Analytic -
A bit high level, but this article brings up several important issues when defining analytics. Specifically, the separation of the method and the result.
Another article on ADW that gives a pretty good breakdown on some of the misconceptions and the expectations of this development process.
DePaul offers a degree in analytics -
Although not the first in this area, still one of the earliest in this growing academic area. It is interesting given the remote and professional programs DePaul offers. Hopefully something that will catch on beyond the MBA and other professional degrees.