Data Analyst Training Icon

Tableau Boot Camp

2 Days Classroom Session   |  
2 Days Live Online
Classroom Registration
Group Rate:
(per registrant, 2 or more)
GSA Individual:
Live Online Registration
Live Online:
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.


NASBA continuing professional education credits (CPE) assist Certified Public Accountants in reaching their continuing education requirements.

This course offers 16.00 NASBA CPEs.


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.


Imagine by 2020, the number of connected devices will exceed 50 billion.  How does it affect us as an individual and companies? It means there will be enormous amounts of data (human and machine). The ability to use that data capitalize that tremendous opportunity is highly beneficial for both the individual and companies.

Join us for this two-day Tableau Boot Camp class and find out how we can leverage the power of visualization. We will explore data visualization and how we can use it to better understand data using Tableau. We will also build dashboard analytics applications through hands-on exercises starting with the building components of analytics architecture through development, deployment and simple administrative functions. This course will cover the fundamentals of Tableau visualization and build the knowledge base necessary to tackle more advanced topics offered for analysts, developers and administrators.

The majority of this course is hands-on in a secure cloud environment. 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.

In this Course, You will Learn How to: 

  • Explore exceptional analytics demand and answer deeper business questions using Tableau
  • Discover how to quickly build amazing Tableau dashboards and visualization in minutes
  • Realize the value and power of data visualization for your organization
  • Ability to answer the “where” as well as the “why”
  • Create interactive maps automatically
  • Deep understanding of big data, live or in-memory for larger dataset
  • Learn to create an environment where everyone in your organization can share and collaborate
  • Examine connection settings to your data using Tableau
  • Understand Tableau terminology.

This two-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 an interactive class, and individuals will be expected to participate fully in all exercises to retain maximum benefit of the course.

10 Immediate Benefits of attending this course:

  • Understanding of exceptional analytics demand and answer deeper business questions.
  • Deep thinking into the data visualization challenges
  • Use the Tableau interface to effectively create powerful visualizations.
  • Ability to answer the “where” as well as the “why.” Create interactive maps automatically.
  • Understand Big data, live or in-memory for larger dataset
  • Connect to different data sources using Tableau
  • Determine the who, what, why, and how of the story points
  • Understand how to frame data story in Tableau
  • Understanding on how do you prioritize, optimize and design for your story
  • Build dashboards to share visualizations online and within your company
  • Learn to create an environment where everyone in your organization can share and collaborate
Learn what is Data Visualization and Why Do We Do It
Learn the difference between Tableau Products (Desktop, Server, Online)
Learn how do we import or connect data sources to Tableau
Learn how do we manipulate data within Tableau
Learn how do we create visualizations using Tableau
Learn how to calculate fields for Key Performance Indicator (KPIs) to build a figure that will be used to measure progress in the data.
Learn how do you manage metadata using adding/creating hierarchy
Learn how to bring data to life with compelling Tableau data story
Learn how to frame and format the data story based on design checklist
Learn how Tableau can integrate R
Upcoming Dates and Locations
All Live Online times are listed in Eastern Time Guaranteed To Run
Oct 4, 2018 – Oct 5, 2018    8:30am – 4:30pm Seattle, Washington

Please call ASPE for location details
at 1-877-800-5221
Seattle, WA 98101
United States

Oct 4, 2018 – Oct 5, 2018    10:30am – 5:30pm Live Online Register
Nov 8, 2018 – Nov 9, 2018    10:30am – 5:30pm Live Online Register
Dec 6, 2018 – Dec 7, 2018    10:30am – 5:30pm Live Online Register
Course Outline

Part 1: Data Analysis and Visualization – Why Tableau?

  1. What are the primary uses of Tableau?
    • Creating dashboard, reports
    • Data discovery and Visualization
    • Self-Service BI
    • Simple statistical analytics like trends and forecasting
  2. Overview of Tableau Products (Desktop, Server, Online)
    • Exercise 1: This exercise shows how to navigate desktop, server and online.
  3. Overview of Tableau Desktop Program
    • What is the Tableau desktop program?
    • What are the benefits of the desktop program?
  4. Importing or Connecting Data Sources to Tableau
    • How do you import or connect to different data sources?
    • How do you use combine joins?
    • What are the Connection options and data source filters?
    • Exercise 2: This exercise how and when to connect on different data sources.
  5. Data Manipulation Within Tableau
    • How do you manipulate data in Tableau?
    • What are options of data manipulation?
    • Exercise 3: This exercise shows the different data manipulations used in Tableau.
  6. Creating Visualizations in Tableau
    • How do you manage Metadata?
    • How do you add/create hierarchy?
    • How do you perform extraction?
    • What is the difference between live and extract?
  7. Animating Visualizations in Tableau
    • How do you create animation in Tableau visualization?
    • How do you use the highlighter in Tableau?
    • What are the examples of Tableau visualizations?
  8. Creating Dashboards in Tableau
    • What are the best practices for dashboard design and visualization?
    • How do you create dashboards in Tableau?
    • Exercise 4: This exercise shows how to step by step create dashboards and worksheet in Tableau.
  9. Creating Story Points in Tableau
    • How do you create story points in Tableau?
    • Determine the who, what, why, and how of the storypoints
    • How do you prioritize, optimize and design for your story?
    • How do you frame data story in Tableau?
    • What are the examples of Tableau story points?
    • Exercise 5: This exercise shows different story points and how they can be used in daily work for business presentation meeting. It encourages collaboration with the team's trusted data.

Part 2: Embedding Tableau Dashboards

  1. What are the steps in embedding Tableau dashboards?
  2. Exercise 6: This exercise shows how to embed Tableau views and dashboards into web pages, portals and power point presentation.

Part 3: Advanced Concepts - Using R and Tableau

  1. What is R?
  2. How can Tableau integrate R?

Part 4: Future of Tableau and Data Visualization

  1. What are the current data visualization trend?
  2. What is the future of Tableau and how do they innovate?
  3. IT Governance
  4. Tableau New Features - Alert
  5. Collaboration
  6. Hyper
Who should attend

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


Computer Labs Needed/Technical Specs

We will have Tableau installation. We will use online for the students with already prepared data.

Download the brochure