Tableau Desktop I: Fundamentals

Price
$1,400.00
Duration
 2 Days
Delivery Methods
 VILT    Private Group

This course provides the solid foundational skills required for Tableau Desktop Specialist certification. It’s for anyone who works with data, regardless of analytical background.

 

Upcoming Class Dates and Times

May 26  - May 27, 2021
8:00AM - 4:00PM Central
2 Days
Virtual Instructor Led
 GTR
Jun 14  - Jun 15, 2021
8:00AM - 4:00PM Central
2 Days
Virtual Instructor Led
 GTR
Jul 12  - Jul 13, 2021
8:00AM - 4:00PM Central
2 Days
Virtual Instructor Led
 GTR
Aug 12  - Aug 13, 2021
8:00AM - 4:00PM Central
2 Days
Virtual Instructor Led
 GTR
Sep 13  - Sep 14, 2021
8:00AM - 4:00PM Central
2 Days
Virtual Instructor Led
 GTR
Oct 13  - Oct 14, 2021
8:00AM - 4:00PM Central
2 Days
Virtual Instructor Led
 GTR
Nov 10  - Nov 11, 2021
8:00AM - 4:00PM Central
2 Days
Virtual Instructor Led
 GTR
Dec 08  - Dec 09, 2021
8:00AM - 4:00PM Central
2 Days
Virtual Instructor Led
 GTR

Who Should Attend

This is the official training course for Tableau Desktop Specialist Certification. This course is for the beginning Tableau user. You'll learn important Tableau Desktop concepts, techniques for simple and complex visualizations and interactive dashboards in preparation for your exam. Skills are taught in two days of in-class instruction plus additional self-paced eLearning.

Course Objectives

  • Connect to your data.
  • Edit and save a data source.
  • Understand Tableau terminology.
  • Use the Tableau interface/paradigm to effectively create powerful visualizations.
  • Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
  • Build dashboards to share visualizations.
  • Cross Tabs
  • Pie and bar charts
  • Geographic maps
  • Dual axis and combo charts with different mark types
  • Heat maps
  • Highlight tables
  • Treemaps
  • Scatter plots

Agenda

1 - Agenda
  • Introduction
  • Connecting to data
  • Simplifying and sorting your data
  • Organizing your data
  • Slicing your data by date
  • Using multiple measures in a view
  • Showing the relationship between numerical values
  • Mapping data geographically
  • Viewing specific values
  • Customizing your data
  • Analyzing data with quick table calculations
  • Showing breakdowns of the whole
  • Highlighting data with reference lines
  • Making your views available
 

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