Articulating the ineffable. Programming language theory 
cognitive psychology. PhD @Stanford
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.@KathiFisler & I have an upcoming Viewpoint in CACM about intro to CS:
data-centric = data science + data structures
We're challenging most people to rethink what an intro to CS means, who it's for, what ends it meets, and how it should be structured.
https://cs.brown.edu/~sk/Publications/Papers/Published/kf-data-centric/ …
Data science is also a great forcing function to figure out what CS concepts that novices need most. When edu researchers at Stanford learn R, their classes have one (1!) week for programming essentials (the rest is stats/ML).
Retraction watch to the red courtesy phone ...
Beautifully put.
Naah, I don't believe this. There is ABSOLUTELY no reason to believe that they learn all the essentials that they need. Often the instructors have no idea what the essentials even are. Heck, even many CS people don't. So, nope.
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.
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