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Connecting Your Data with Tableau: The Basics

Class Sessions

Date Location Cost
  • Fri Aug 14, 9:00 am to 12:00 pm
Live Online $175

Class Code

ITS-8403

Class Description


Effective immediately in response to COVID-19, all Technology Training classes will be delivered online until further notice.

In advance of each session, Tech Training will provide you with a Zoom link to your class, along with any required class materials.
 


 

Tableau is an interactive data analysis and visualization tool. This class covers how to connect the Tableau software to your data.
 

In this session, learn best practices to connect Tableau to your data and create different types of data visualizations, develop interactive dashboards, and leverage data filters to refresh visualizations and summary data. 

 

Topics include:
 

  • Tableau: The what and the why
  • Connecting your data to Tableau: Flat files, Databases, Cloud, etc.
  • Create calculated fields and data type conversion
  • Use sheets, dashboards, and storytelling
  • Leverage the data extracts to improve performance
  • Join data from different sources
  • Split column into multiple columns
  • Create summary tables and filters
  • Create and manipulate data with DateTime
  • Develop different types of charts such as barchart, linechart, scatter plots, heatmap, pie chart, etc.
  • Sorting tables and visuals
  • Learn to carry out time-series analyses and forecasts
  • Create interactive maps
  • Create interactive dashboards
  • Sets and parameters
  • Create primary and secondary table calculations
  • Create empirical cumulative distribution visuals




About the Instructor: Arafat Mokhtar

Arafat Mokhtar is a Business Intel Engineer at Stanford School of Medicine, who supports the Human Resources Group with data collections, validation, cleansing, and analytics to provide actionable data insights used by leadership management to make data-driven decisions on the organization workforce. He develops code to automate data analytics processes, proposes data solutions, and develops measurable business metrics.

 

Arafat holds a Ph.D. in Particle Physics and spent several years as a postdoctoral fellow at SLAC National Accelerator Laboratory. He has 10+ years of teaching experience and conducted a number of Python and R training sessions for Stanford Technology Training Programs.

 


University IT Technology Training classes are only available to Stanford University staff, faculty, or students. A valid SUNet ID is needed in order to enroll in a class.

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