Articulating the ineffable. Programming language theory 
cognitive psychology. PhD @Stanford
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For sure, we shouldn't look to current data science courses and adopt the essentials they teach. I know first hand how lacking that one week is. I'm saying that, as a framing for CS1, data science forces a more practical pedagogy.
I've seen CS1 that teaches pointers/memory, Monte Carlo methods, MVC, web programming. Just a random smorgasbord of what the instructor likes. But data science limits the application scope, and keeps a focus on computational techniques specifically needed for data analysis.
Just look at Data8. They don't even teach for loops! Incredible! A world where students learn higher-order functions before they learn iteration. That's where I want to live.
This last bit I agree with the most. Having some external pressure (DS) forces you to figure out what matters and what doesn't, and what supports what you want to get done.
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