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Building Advanced Analytics Applications with R and Python Integration

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Access the webinar resources, including the Jupyter workbook here.

At Tableau we help people see and understand data. Seven words that drive everything we do. And they’ve never been more relevant. Tableau is all about making your analytics faster, smarter, and more powerful, so that everyone can get the answers they need. Helping people gain insight into their data to solve unexpected problems is what drives us.

Tableau is a visual analytics and reporting solution that connects directly to R, Python, and more. It’s designed for you, the domain expert who understands the data. Its drag-and-drop interface allows you effortlessly connect to libraries and packages, import saved models, or write new ones directly into calculations, visualizing them in seconds.

In this webinar, we will explore how various analytics partners are leveraged in Tableau, and how to take advantage of these integrations to move your analysis to the next level. Whether you work with R, Python, or other statistical or data mining environments, Tableau allows you to take advantage of your existing investments and knowledge to compose impactful data stories.

Learn more about our Advanced Analytics for Hardcore Data People webinar series.

À propos de l'intervenant

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Bora Beran, Ph.D.

Product Manager at Tableau

Bora is the product manager at Tableau for the teams that brought you level of detail (LOD) expressions, R and Python integration, clustering, type-in pills, table calculations, regular expressions, box plots, stored procedures, split, pivot among many other features. Prior to joining Tableau, Bora worked at Microsoft Research, SQL Server and Windows HPC Server on tools and infrastructure for large-scale computational modeling/simulations, data mining, visualization, and knowledge representation. He holds a Ph.D. from Drexel University and is a reviewer for several scholarly journals in the area of technical computing. He enjoys blogging about new Tableau features and interesting, advanced use cases for Tableau.

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