A Data Scientists Guide to Saving Time

"As a data scientist, you stand at the crossroads of science, engineering, business intelligence, and mathematics. You have a lot to juggle — everything from coding and data visualisation to cleaning up datasets and reacting to ad-hoc day-to-day responsibilities, and unless you strictly track your time, you might be surprised how you spend it. In a recent survey conducted by HP of 350 data scientists worldwide,48% claimed they spent more time organizing their data than actually analysing it.
Your time is valuable, so efficiencies are essential tools of the trade. Who would have guessed that excelling in your role could have just as much to do with time management as mastering the intricacies of SQL?
This document details six tips for optimising your workflow and making the best use of your time.

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