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Improving the Data Modeling Workflow 

The core competency of effective data scientists is producing direct value for businesses via quantitative models. New analytical tools allow data modelers to drastically improve the modeling workflow: speeding up data cleaning, identifying and exploring predictive factors, and rapidly evaluating and analyzing results.

In this webinar Justin Palmer of LendingHome and Colin Zima of Looker will look at ways to speed up the dirty work around building data models. They will dig into the key steps in the process and offer ideas and examples of improvements.

Click here to register

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