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Tableau Desktop: Accelerated (Three-day Class)

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This unique course combines our popular Desktop I and II courses to ramp you up on Tableau Desktop quickly. You will learn the foundational concepts of Tableau and also more complex skills that will distinguish you as a power user.

At the end of this course, you will be able to:

  • Connect to your data.
  • Edit and save a data source.
  • Understand Tableau terminology.
  • Use the Tableau interface / paradigm to effectively create powerful visualizations.
  • Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
  • Build advanced chart types and visualizations.
  • Build complex calculations to manipulate your data.
  • Use statistical techniques to analyze your data.
  • Use parameters and input controls to give users control over certain values.
  • Implement advanced geographic mapping techniques and use custom images and geocoding to build spatial visualizations of non-geographic data.
  • Prep your data for analysis.
  • Combine data sources using data blending.
  • Combine data from multiple tables in the same data source using joins.
  • Make your visualizations perform as well as possible by using the Data Engine, extracts, and efficient connection methods.
  • Build better dashboards using techniques for guided analytics, interactive dashboard design, and visual best practices.
  • Implement efficiency tips and trick

Custom training workshops are available for this program

Technology training sessions structured around individual or group learning objectives. Learn more about custom training


University IT Technology Training sessions are available to a wide range of participants, including Stanford University staff, faculty, students, and employees of Stanford Hospitals & Clinics, such as Stanford Health Care, Stanford Health Care Tri-Valley, Stanford Medicine Partners, and Stanford Medicine Children's Health.

Additionally, some of these programs are open to interested individuals not affiliated with Stanford, allowing for broader community engagement and learning opportunities.