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The thing is that you really ~can~ just say that. Statistical analysts aren't f-ing around when it comes to analyzing data and are capable of some extremely mag
by spaznode 15y ago
The thing is that you really ~can~ just say that. Statistical analysts aren't f-ing around when it comes to analyzing data and are capable of some extremely magical things that you can't just "pick up" randomly simply by working on data a lot.
Just like you can't randomly understand the fundamentals of software engineering like data structures & algorithms without first studying the concepts directly.
Hey I'm totally fine if people don't like what they're reading though. It gives me a competitive edge for any company I work for if everyone else is against the idea. ;)
- anamax 15y ago> Statistical analysts aren't f-ing around when it comes to analyzing data and are capable of some extremely magical things What makes you so sure that "Biz Intelligence" folks aren't doing that?
- kevinalexbrown 15y agoBecause it's frankly the same thing, you're just defining one name for the people who do it well, and one name for the people who don't. I work with extremely large data sets. Yay. I can call myself a Data Scientist to be in vogue and gain "competitive edge" with people who care about the name I call myself instead of what I'm capable of. I can emphasize that I didn't just "pick up" things randomly, but that I got an abstract mathematics degree. But I'd prefer to be known by what I can do, not my particular label. "No, no I'm not a programmer, I'm an engineer, which gives me a competitive advantage!" -- Whatever, how well can you code?
- spaznode 15y agoI work with multi terabyte data sets myself as a software engineer, but after working with these people am not under the mistaken impression that I'm a data scientist of the kind described in the article. I wouldn't have known this about myself before working with and seeing what they do firsthand of course. That's kind of my main point.