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.
In this latest Data Science Central webinar, 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.
Sam Priddy, Data Visualization Guide - Tableau
Stephanie Glen, Editorial Director - Data Science Central