March 2014
Beginner to intermediate
416 pages
13h 36m
English
This chapter covers
The data scientist is responsible for guiding a data science project from start to finish. Success in a data science project comes not from access to any one exotic tool, but from having quantifiable goals, good methodology, cross-discipline interactions, and a repeatable workflow.
This chapter walks you through what a typical data science project looks like: the kinds of problems you encounter, the types of goals you should have, the tasks that you’re likely to handle, and what sort of results are expected.
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