What does real data analysis look like? Hilary Mason and Chris
Wiggins set out these stages, as the OSEMN model ("which rhymes with
possum"):
* Obtain;
* Scrub;
* Explore;
* Models;
* iNterpret.
http://www.dataists.com/2010/09/a-taxonomy-of-data-science/
In a 2013 talk, Mason notes that these stages may seem obvious now, but
that no-one had previously thought to write them down: https://www.youtube.com/watch?v=fZuDwiM1XBQ
My feeling is that standard statistics courses for scientists talk a lot
about models and interpretation, but very little about the other stages.
Even for the Models phase, we don't teach much about selecting or
designing models.
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