Data Analyst Training Icon

Advanced Tableau Workshop

2 Days Classroom Session
Classroom Registration
Group Rate:
(per registrant, 2 or more)
GSA Individual:
Private Onsite Package

This course can be tailored to your needs for private, onsite delivery at your location.

Request a Private Onsite Price Quote

Professional Credits


ASPE is an IIBA Endorsed Education Provider of business analysis training. Select Project Delivery courses offer IIBA continuing development units (CDU) in accordance with IIBA standards.


Select courses offer Leadership (PDU-L), Strategic (PDU-S) and Technical PMI professional development units that vary according to certification. Technical PDUs are available in the following types: ACP, PBA, PfMP, PMP/PgMP, RMP, and SP.


This Advanced Tableau training course teaches students to take Tableau to the next level with advanced calculations, enhanced interactivity, and advanced analytics. Attendees will learn how to use actions to create interactive dashboards, apply cutting-edge formatting techniques, implement dashboard best practices, and much more.

In this Advanced Tableau Course, You will Learn:

  • How to work with calculations and advanced interactivity
  • How to use actions to create interactive dashboards
  • How to display data & advanced analytics
  • How to use Tableau server
  • Advanced formatting & dashboard best practices
  • Custom SQL
  • Advanced Chart Types 
  • Clustering
  • Storypoints
  • Performance Tuning
Upcoming Dates and Locations
All Live Online times are listed in Eastern Time Guaranteed To Run

There aren’t any public sessions currently scheduled for this course, but if you fill out the form below, we can tell you about how we can bring this course to you!

Course Outline
  • Introduction
  • Calculated Fields
  • Aggregate Calculations & Ratios
  • Logical Calculations
    • If/Then
    • IIF
    • Case/When
    • IfNull
    • IsNull
    • ZN
  • Date Calculations
    • Date
    • DateAdd
    • DateDiff
    • DateParse
    • Today()
    • Now()
    • MakeDate & MakeDateTime
  • Parameters
    • Pre-defined Lists for Faster Filtering
    • Top N Filter
    • Reference Line Parameter
    • Swapping Dimensions or Measures in a View
    • What If Analysis
  • Using Actions to Create Interactive Dashboards
    • Filter Actions
    • Highlight Actions
    • URL Actions
    • Combining Parameters and Actions: On Demand Charts
  • Advanced Formatting & Dashboard Best Practices
    • Layout Containers
    • Floating Elements
    • When to Use Which
    • Effective Dashboard Layouts
    • Layout Best Practices
      • Titles and Labeling
      • Color Choices
      • Do
      • Don’t
    • Guided Analytics
    • Advanced Tooltips
  • Custom Shapes & Custom Color Palettes
  • Advanced Segmentation
    • Dynamic Sets
    • Top N Sets
    • Conditional Sets
    • Combined Sets
  • Advanced Analytics
    • Reference Bands and Reference Distributions Explained
      • Reference bands
      • Reference Distributions
      • 60, 80% of Total, Percentiles
      • Quantiles
      • Standard Deviation
    • Box Plots
      • How to Interpret Box Plots
      • Building a Box Plot
    • Forecasting
      • When are Forecasts Useful?
      • How to Build a Forecast in Tableau
  • Advanced Extracts
  • Using Tableau Server
    • To Publish a Workbook to Tableau Server
    • A New Perspective on Using Server
  • Optional modules that may be added (course length would be affected) or swapped for other units in the course:
    • Using Custom SQL
    • Advanced Chart Types (usually focus on what’s most relevant to your needs)
      • Bar in Bar Chart
      • Bulletgraphs
      • Sparklines
      • Slope Charts
        • Building a Slope Chart with a Continuous Axis
        • Building a Slope Chart with a Discrete Axis (i.e. Rankings)
      • Pie Charts on Maps
      • Control Charts
      • Pareto Charts
      • Gantt Charts and Dual Axis Gantt Charts
    • Clustering
      • What is it?
      • But, wait. Can’t we already create segments? Why do we need clustering?
      • How do we create clusters?
      • How do I understand each of my clusters beyond just eyeballing it?
      • How do I explain this to other people?
      • How do I reuse these clusters again, or in other analyses?
      • What are some common use cases where I could use clustering?
    • Storypoints
    • Performance Tuning
    • Some Performance Best Practices
Who should attend

Tableau users or potential Tableau users that want to advance their analytics skills and enhance their dashboards using Tableau.


Download the brochure