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I've always wondered why data science is so dominated by CS people. CS concepts are the least important thing for a data scientist to know. Fundamentals in ma
by noelsusman 11y ago
I've always wondered why data science is so dominated by CS people. CS concepts are the least important thing for a data scientist to know. Fundamentals in math, statistics, and especially linear algebra are far more important. I would hire a statistician who has learned a few CS concepts over a computer scientist who has learned a few statistics concepts any day. Obviously being an expert in both is ideal, but that's pretty rare to find.
I teach at a well respected university for what is essentially a data science masters program, and most of my students come from CS. They are woefully unprepared, and even worse few of them seem to care at all about learning the mathematics behind anything that is going on.
Personally, I think if you can't read linear algebra at the same proficiency as you read English then you have no business calling yourself a data scientist. Unfortunately, in my experience that would describe most people who label themselves data scientists.
- IndianAstronaut 11y agoMore worryingly, they make glaring data errors, suck as poor sample estimates, not understanding extrapolation of data to a larger subset, or even knowing what a confounding variable is.
- disgruntledphd2 11y agoSee I think that the points you've raised are far more important than linear algebra. Learning linear algebra is pretty easy compared to applying statistical concepts to real problems (source: I do this stuff for a living).