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How to accelerate and scale your data science workflows

Data scientists are faced with requests for information on a regular basis—from our colleagues, our bosses, or our clients. At the beginning of the analytic process, it's rare that requests are made or organized in a way that makes them easy to fulfill. It is our job to systematically unpack these requests and organize them in a way that allows us to take action and build analyses that accurately address the initial request—and to do it quickly, with the least amount of back-and-forth possible.

Watch this webinar to learn practical techniques to optimize your workflow, as well as the logic behind this methodology. Sam Priddy will dissect some of the situations you likely encounter on a daily basis. He’ll also discuss how to use these techniques to help people see and understand their data at the speed of thought.

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Sam Priddy

Data Visualization Guide, Tableau

For 6 years Sam has been at Tableau focused on help people reap the benefits of a data-informed culture with tools that allow rapid, user-friendly exploration of their information. From enabling individuals and organizations to make the most of their time in Tableau to empowering people to ask and answer questions with data, Sam embodies the spirit of Tableau's mission to help people see and understand their data at the speed of thought.

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