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Tableau Boot Camp

3 Days Classroom Session   |  
3 Days Live Online
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Group Rate:
(per registrant, 2 or more)
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Live Online:
Private Onsite Package

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

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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 course teaches attendees how to use Tableau to quickly and comprehensively analyze and present data. Participants learn analytical techniques, best practices, and how to create visualizations and calculations ranging from simple to complex, and then combine these into dashboards that yield meaningful insights.

Fifty percent of this Tableau training course is hands-on lab exercises. It teaches you how to implement data visualization techniques and practices to achieve better visualization, connecting to different data sources, creating dashboards and successful project deployments.

This three-day, instructor-led training course will teach the fundamental concepts, how to prepare and import data into Tableau, create dashboards, explain the relationship between data analytics and data visualization for successful implementation, and more. Students will learn through hands-on labs, class demos, and class participation exercises. This is an interactive class and individuals will be expected to participate fully in all exercises to retain the maximum benefit of the course.

Looking to solve a particular issue with Tableau, or need learning targeted to your unique team environment? Have a learning advisor contact you or request more information about our onsite services and learn how we can deliver you customized Tableau training at a discounted rate.

Customer Testimonials:

"Great training and very happy to be in it. Very prepared and highly skilled instructor. He met my expectation for this training in every level (aspect)." - D. Leggesse

In this Tableau Course, You will:

  • Understand the main Tableau interface
  • Build visualizations
  • Build dashboards
  • Reshape and format data
  • Show trends or change over time
  • Use maps and spatial analysis
  • Learn best practices and analytical techniques using Tableau
Upcoming Dates and Locations
All Live Online times are listed in Eastern Time Guaranteed To Run
Request a quote for private onsite training Request
Oct 13, 2020 – Oct 15, 2020    8:30am – 4:30pm Live Online Register
Nov 9, 2020 – Nov 11, 2020    8:30am – 4:30pm Live Online Register
Dec 14, 2020 – Dec 16, 2020    11:30am – 7:30pm Live Online Register
Course Outline
  • Introduction
  • The Data Analysis, Visual Analytics, and Tableau Revolution
  • Simple Data Connections and the Data Connection Interface
  • Understanding the Main Tableau Interface
  • Building Simple Visualizations
  • Saving Options
  • Understanding Utilizing “Show Me”
  • Dimensions vs. Measures and How They Affect a Viz
  • Continuous vs. Discrete Variables
  • Basic Dates
  • Basic Aggregations
    • Hierarchies
    • Sorting
    • Groups
  • Formatting
    • Color
    • Size
    • Labels
    • Detail
    • Formatting Individual Elements vs. the Entire Worksheet or Workbook
  • Building Your First Dashboard
  • Labeling, Annotations, Tooltips, and Data Highlighting
  • Quick Filters
  • Publishing and Sharing
  • Connecting to Different Databases and Data Formats
  • Live vs. Extract Connections – The Basics
  • Reshaping and Formatting Data for Tableau
  • Managing Multiple Data Connections in a Single Workbook
  • Cross Database Joins and Data Blending
  • Cross Database Filters
  • Understanding the Navigation Menu
  • Showing Trends and Change Over Time
    • Trends and Trend Lines
    • Rate of Change and Moving Average
  • Part to Whole and Ranking Analysis
    • The Standard Bar Chart
    • The Stacked Bar Chart
    • The Side by Side Bar Chart
    • Pie Charts
    • Using Index and Ranking Calculations
    • Fixing Broken Sorts
  • Creating Dual Axis and Combo Charts
  • Building Data Tables
  • Totals and Subtotals
  • Using Maps and Spatial Analysis
  • Showing Relationships Between Numbers
    • Scatter Plots
    • Trend Lines and Statistical Features
    • Basic Reference Lines
  • Distributions
    • Heatmaps and Highlight Tables
    • Breaking Data into Numerical Ranges or Buckets
    • Histograms
  • Motion Charts
  • Calculated Fields Overview
  • Aggregate Calculations and Ratios
  • Logical Calculations
    • If/Then
    • IIF
    • Case Statements
    • IfNull
    • IsNull
    • ZN
  • Date Calculations
    • Date
    • DateAdd
    • DateDiff
    • DateParse
    • Today()
    • Now()
    • MakeDate and MakeDateTime
  • Parameters
    • Pre-defined lists for faster filtering
    • Top N Filters
    • Reference Line Parameter
    • Swapping Dimensions or Measures in a View
    • Performing a What If Analysis
  • Using Actions to Create Interactive Dashboards
    • Filter Actions
    • Highlight Actions
    • URL Actions
  • Combining Parameters and Actions: Pop Up Charts
  • Q&A and Publishing
  • Conclusion
Who should attend

Anyone who is interested in learning the power of analytics and dashboards.


Computer Labs Needed/Technical Specs

  • Tableau Desktop, Tableau Creator license, or Tableau Explorer license
    •  If you have a Tableau Viewer license you will learn a lot, but that license tier may not allow you to complete all of the lab exercises
  • Microsoft Excel 2010 or later (2013 or later recommended)
  • Internet access
  • Related data and lab files that Accelebrate would provide
  • For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor's screen simultaneously with working on their own.

Additionally, although it is not mandatory, students who have completed the self-paced Applied Statistics for Data Scientists eLearning course have found it very helpful when completing this course.


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