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Tableau Webinar Series

Tableau is excited to present this four-part webinar series on visual analytics. Attend our live webinars November through December to learn best practices for connecting, analyzing, visualizing, and sharing your data. Use the registration links below to register for each individual webinar.




Evolving from Spreadsheets to Visual Analytics

Date Time Register
February 14 11am EST Register Here


Spreadsheets are the most common method for working with data and date all the way back to the 1960's! If you are ready to turn your data into visual analytics then this session will give you the knowledge and skills to level up your analytics.

What you will learn:

  • How to translate your spreadsheet knowledge into Tableau
  • Understand the key differences between working with spreadsheets and Tableau
  • Approaches for overcoming initial stumbling blocks
  • The benefits of both technologies and how to use them together to optimize your data practice




Intro to Tableau (Desktop & Server)

Date Time Register
February 28 11am EST Register Here


During this session we will answer the question “What is Tableau?” and will show you why we are different from other business intelligence solutions. Seeing and using is believing at Tableau and we want you to experience why we are different first hand. As an attendee, you will leave this session with the ability to connect to and explore your data, plus understand how to garner greater insight through data visualization.




About the speaker


James Chen
Sales Consultant, Tableau

James Chen is a sales and solutions consultant at Tableau where he supports strategic accounts with seeing and understanding data with Tableau products. Previously, James worked as an analytics product owner for an AI insurance claims organization and as a business intelligence leader at a large chemical supply chain company. He has a diverse background in enterprise analytics with experience delivering large scale analytics, executive reporting, self-service analytics and C-level analytics initiatives.