Tableau Training

How To Take This Class

Live Instructor-Led Online Class

Cost: $1,275.00

  • Open enrollment class for individuals
  • Live class with an instructor
  • Free class retakes forever!
  • Six months of instructor email support
  • Hands-on exercises and student labs
  • Classes never cancelled due to low enrollment
  • Money-back guarantee

Onsite or Offsite Group Training

Cost: Based on number of students

  • For groups as small as 3 people
  • Class Held at our location or yours
  • Hands-on exercises and student labs
  • Customization at no extra charge
  • Six months of instructor email support
  • All-inclusive pricing
  • Money-back guarantee
Request Group Pricing Proposal

Course Duration

3 Days

What Students Receive

Each student will receive:
  • A printed courseware manual for use during and after class.
  • Email support from a Tableau Instructor (available for six months after class)
  • A USB headset for communicating with your instructor and fellow students during your class
  • A course completion certificate upon successful completion of the Tableau Training course

Course Description

In this Tableau Training course, students will begin by learning how to prepare their data for use in Tableau. They will then go on to learn how to create data visualizations and dashboards in Tableau. Students will also learn how to perform trend analysis and forecasting using clustering and distribution models in Tableau. Finally students will learn about the various ways to distribute their dashboards and visualizations. This course is designed for students who are either new to Tableau or have some experience and want to expand their skill set. This course is based on Tableau 10.

Course Objectives

Upon successful completion of this course, students will be able to:
  • Build effective visualizations and dashboards in Tableau
  • Prepare and clean data for use in Tableau
  • Create advanced visualizations that allow users to understand complex data easily
  • Analyze trends and make forecasts in Tableau using clustering and distribution models
  • Use data storytelling to aid decision-making and strategy
  • Share dashboards and visualizations created in Tableau with other users

Course Audience

This course is designed for students who are either new to Tableau or have some experience and want to expand their skill set.

Course Prerequisites

No prerequisites.

Course Syllabus

  1. Creating Your First Visualization and Dashboard
    • Connecting to data
    • Foundation for building visualizations
    • Visualizing data
    • Creating bar charts
    • Creating line charts
    • Creating geographic visualizations
    • Using Show Me
    • Bringing everything together in a dashboard
  2. Working with Data in Tableau
    • The Tableau paradigm
    • Connecting to data
    • Managing data source metadata
    • Working with extracts instead of live connections
    • Tableau file types
    • Joins and blends
    • Filtering data
  3. Moving from Foundational to More Advanced Visualizations
    • Comparing values across different dimensions
    • Visualizing dates and times
    • Relating parts of the data to the whole
    • Visualizing distributions
    • Visualizing multiple axes to compare different measures
  4. Using Row-Level, Aggregate, and Level of Detail Calculations
    • Creating and editing calculations
    • Overview of the three main types of calculations
    • Parameters
    • Practical examples of calculations and parameters
    • Ad hoc calculations
    • Performance calculations
  5. Table Calculations
    • Overview of table calculations
    • Quick table calculations
    • Relative versus fixed
    • Scope and direction
    • Addressing and portioning
    • Custom table calculations
    • Practical examples
    • Data densification
  6. Formatting a Visualization to Look Great and Work Well
    • Formatting considerations
    • Understanding how formatting works in Tableau
    • Adding value to visualizations
  7. Telling a Data Story with Dashboards
    • Dashboard objectives
    • Example – is least profitable always unprofitable?
    • Designing for different displays and devices
    • How actions work
    • Example – regional scorecard
    • Stories
  8. Deeper Analysis – Trends, Clustering, Distributions and Forecasting
    • Trending
    • Clustering
    • Distributions
    • Forecasting
  9. Making Data Work for You
    • Structuring data for Tableau
    • Techniques for dealing with data structure issues
    • Overview of advanced fixes for data problems
  10. Advanced visualizations, Techniques, Tips and Tricks
    • Advanced visualizations
    • Sheet swapping and dynamic dashboards
    • Advanced mapping techniques
    • Using background images
    • Animation
  11. Sharing Your Data Story
    • Presenting, printing and exporting
    • Sharing with users of Tableau Desktop and Tableau Reader
    • Sharing with users of Tableau Server, Tableau Online and Tableau Public
    • Additional distribution options using Tableau Server