Tableau Desktop - Business Intelligence Course

Course Details:

Length: 2 days

Price: $1,240/person (USD)

Bundle & Save: View Bundle

Group Price: Request Quote

Training Reviews

Course Features:

Live Instructor Teaching

Certificate of Completion

Courseware: Print

Free 6 Month Online Retake

Hands-On Learning?: Yes

Software Lab Included: Yes
(requires trial or license)

Delivery Methods:

Live Online

Individuals and Groups
@ Your Location

Onsite for Teams

Group Teams
@ Your Organization

This is an instructor-led course. It is taught by an instructor live online or at organizations for groups.
For team training, we can teach onsite at your office or private live online.


Course Overview

Create powerful, effective visualizations to help analyze your data with Tableau 10 by your side. Tableau is a software tool that can speed up data analysis through its rich visualization capabilities, and help uncover insights for better and smarter decision making. This course is for the business, technology, data and analytics professionals who use and analyze data and data-driven approaches to support business operations and strategic initiatives in their organizations.

This course provides easy-to-follow recipes to get the reader up and running with Tableau 10, and covers basic to advanced use cases and scenarios. The course starts with building basic charts in Tableau and moves on to building more complex charts by incorporating different Tableau features and interactivity components. There is an entire section dedicated to dashboard techniques and best practices. A number of recipes specifically for geospatial visualization, analytics, and data preparation are also covered.

By the end of this course, you’ll have gained confidence and competence to analyze and communicate data and insights more efficiently and effectively by creating compelling interactive charts, dashboards, and stories in Tableau.

Learning Objectives
  • Become familiar with the Tableau interface
  • Build basic to more advanced charts with step-by-step recipes
  • Use filters, calculated fields, parameters, and actions to add interactivity to charts and dashboards
  • Prepare and transform data for analysis using Tableau’s built-in tools and functions
  • Create effective and compelling dashboards and story points
  • Leverage Tableau’s mapping capabilities to visualize location and shape data
  • Intejavascript:void(0);grate analytics and forecasting to enhance data analysis
  • Get to know tips and tricks to work more quickly and effectively in Tableau
  • Increase your confidence and competence in creating rich, interactive visualizations in Tableau

Register Early: Registration Deadline is 2 Weeks Prior to Class Start.

Course Notes

Knowledge Prerequisites

Tableau Desktop: Basic
Tableau Desktop: Advanced


Course Topics

Creating a bar chart
Creating a stacked bar chart
Creating a line chart
Creating a scatter plot
Creating a heat map
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

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
Creating a unit chart
Creating a box and whisker chart
Creating a sparkline with indicators
Creating a KPI text table
Creating a waterfall chart
Creating a population pyramid

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

Creating a filter action
Creating a highlight action
Creating a URL action
Creating an Infographic-like dashboard
Creating story points

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

Adding a constant line
Adding a trend line
Using a reference line
Adding a reference band
Performing cluster analysis
Visualizing forecast
Performing linear regression with R

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


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