All Videos Tagged Desktop” (Data Science Central) - Data Science Central 2020-09-28T01:09:18Z https://www.datasciencecentral.com/video/video/listTagged?tag=Desktop%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: Your Model Will Probably Fail (And How to Prevent it) tag:www.datasciencecentral.com,2020-07-16:6448529:Video:962530 2020-07-16T23:17:17.386Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-your-model-will-probably-fail-and-how-to"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/6939351082?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Data science is more popular than ever, but many data scientists struggle with complicated workflows to run their models as well as how to best communicate the output to less technical stakeholders. Tableau can solve both of these challenges by designing R workflows and creating visualizations that break complicated models down into easily… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-your-model-will-probably-fail-and-how-to"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/6939351082?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Data science is more popular than ever, but many data scientists struggle with complicated workflows to run their models as well as how to best communicate the output to less technical stakeholders. Tableau can solve both of these challenges by designing R workflows and creating visualizations that break complicated models down into easily understandable stories.<br /> <br /> In this latest Data Science Central webinar, you will see some of the ways that you can use Tableau Prep and Desktop to bring data science to all of your users and help empower more data-informed decisions.<br /> <br /> Speaker: <br /> Alyssa Peck, Data Scientist - Tableau<br /> <br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central