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sixes_and_sevens comments on Open Thread, November 16–30, 2012 - Less Wrong
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It seems like lots of people on LW want a slice of this "data science" pie that everyone keeps talking about. I know it's a highly ambiguous buzzword at the moment, but what would be a good syllabus for these people?
I'm cobbling my own together at the moment, (mostly consisting of R, NumPy, lxml and a lot of extracurricular linear algebra), but it never hurts to have a bit of extra structure. What should prospective "data scientists" be learning, and where can they find it?
A tentative sequence for learning "data science" (inspired by Daniel_Burfoot):
matt of Conductrics put up a somewhat detailed blog post on learning data science.
SQL, machine learning, statistics, data visualization.
Whenever I see the phrase "data science" I remember Cosma Shalizi's blog posts about data scientists being statisticians who can program and market themselves well. Maybe you can lift something from his stats department's course list?