Remember that quote I started part two with? About data scientists wanting better tools for wrangling so they could work on the “sexy stuff”? Well, after covering how data is stored, how it’s cleaned and how it’s combined from disparate databases, we’re finally there. Data applications are where the “sexy stuff” like predictive analysis, data mining and machine learning happen. This is the part where we take all this data and do something really amazing with it.

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