Course Code: 19063

Tableau 10 Business Intelligence Bootcamp

Class Dates:
4 Days
Class Time:
Instructor-Led Training, Virtual Instructor-Led Training


  • Course Overview
  • Tableau is a leading visual analytics software that can uncover insights for better and smarter decision-making. Tableau has an uncanny ability to beautify your data, compared to other BI tools, which makes it an ideal choice for performing fast and easy visual analysis.

    In this 5 day fast-paced Bootcamp you will build your understanding of Tableau 10 in no time. You will increase your competence in integrating analytics and forecasting to enhance data analysis during the course.

    Each lesson presents core concepts and key takeaways about a topic in Tableau and provides a series of hands-on exercises.

  • Audience
  • This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data-management tools to perform numerical or general data analysis. This includes capturing and reporting on data to peers, executives, and clients. These professionals must also provide data visualizations in reports or explain data analysis through visualizations.

    This course is also designed for students who plan to obtain Tableau Desktop Qualified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam.


  • To ensure your success in this course, you should have experience managing data with Microsoft® Excel® or Google Sheets™. You can obtain this level of skills and knowledge by taking the following Logical Operations courses:

    Microsoft® Excel® for Office 365™/2019: Part 1
    Microsoft® Excel® for Office 365™/2019: Part 2

    Optionally, having experience with other data analytics tools, such as Google Analytics™ or Customer Relationship Management (CRM) tools, as well as an understanding of database design concepts or a background in statistical analysis, will help you get even more out of Tableau. The following courses are helpful but not required:

    Google Analytics™: Foundation (Second Edition)
    Database Design: A Modern Approach
    Microsoft® Excel® for Office 365™: Dashboards

Course Details

  • Introduction
  • Getting Ready
  • How to do it
  • How it works
  • Customer support
  • Download the workbook starters
  • Errata
  • Questions
  • Basic Charts
  • Creating a bar chart
  • Creating a stacked bar chart
  • Creating a line chart
  • Creating a scatter plot
  • Creating a text table (crosstab)
  • Creating a highlight table
  • Creating an area chart
  • Creating a pie chart
  • Creating a bubble chart
  • Creating a word cloud
  • Creating a tree map
  • Advanced Charts
  • Creating a histogram
  • Creating a small multiple chart
  • Creating a shared axis chart
  • Creating a combo chart (dual axis chart)
  • Creating a bullet chart
  • Creating a bar in bar chart
  • Creating a donut chart
  • Crating a unit chart
  • Creating a box and whisker chart
  • Creating a sparkline with indicators
  • Creating a KPI text table
  • Creating a waterfall chart and a population pyramid
  • Interactivity
  • Creating a motion chart
  • Creating a dynamic column/row trellis chart
  • Creating a top/bottom N filter
  • Comparing one to everything else
  • Dynamically displaying dimensions
  • Dynamically displaying and sorting measures
  • Creating a custom date period filter
  • Dashboards and Story Points
  • Introduction
  • Creating a filter action
  • Creating a highlight action
  • Creating a URL action
  • Creating an Infographic-like dashboard
  • Creating story points
  • Maps and Geospatial Visualization
  • Introduction
  • Adding data layers to map
  • Creating custom territories
  • Working with Web Map Service (WMS)
  • Using path to display movement in map
  • Mapping custom polygons
  • Importing custom geocoding
  • Using a custom image background
  • Analytics
  • Introduction
  • Adding a constant line
  • Adding a trend line
  • Using a reference line
  • Adding a reference band
  • Peforming cluster analysis
  • Visualizing forecast
  • Peforming linear regression with R
  • Data Preparation
  • Introduction
  • Using the Data Interpreter and pivot
  • Using the legacy Jet driver
  • Using schema.ini to resolve data type issues
  • Pivoting columns
  • Using union
  • Using.join
  • Using blend
  • Calculated Fields Primer
  • Different ways to create calculated fields
  • Calculated field window
  • Functions in Tableau
  • Function Syntax
  • Word of caution
  • Different types of caculated fields
  • Dealing with NULLs
  • Tidbits