Introduction to Tableau | Tableau QuickStart (TTDTAB001)

Simplifying and Sorting Your Data

• Data Filtering
• Creating Date Filters
• Sorting

Organizing Your Data

• Using Groups
• Creating and Using Hierarchies

Slicing Your Data by Date

• Working with Dates in Tableau
• Using Discrete Date Parts
• Defining a Fiscal Year
• Creating Custom Dates

Using Multiple Measures in a View

• Using Measure Values and Measure Names in a View
• Combo Charts
• Combined or Shared Axis Charts
• Creating Dual Axis Charts

Showing the Relationship between Numerical Values

• Creating Scatter Plots
• Using Sets

Viewing Specific Values

• Creating Heat Maps
• Creating Crosstabs
• Creating Highlight Tables
• Grand Totals, Sub-Totals, and
• Changing Aggregation

Customizing Your Data

• Calculation Types
• Parts of a Calculated Field
• Options for Creating Calculated Fields
• Strings, Dates, and Type Conversion Functions
• Calculations and Aggregations

Analyzing Data with Quick Table Calculations

• Using Quick Table Calculations

Showing Breakdowns of the Whole

• Pie Charts and Parts of the Whole
• Creating Tree Maps

Viewing Distributions

• Bins and Histograms
• Box and Whisker Plots

Making Your Views Available

• Building Dashboards
• Dashboard Actions

Working within an engaging, hands-on learning environment led by our Tableau expert practitioner, attendees will learn to:

• Understand Tableau terminology
• Use the Tableau interface / paradigm to effectively create powerful visualizations
• Create basic calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations
• Use groups, bins, hierarchies, sorts, sets, and filters to create focused and effective visualizations
• Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions.
• Handle changes in your data source such as field addition, deletion or name changes.
• Share your visualizations with others.
• Combine your visualizations into Interactive Dashboards and publish them to the web.

Represent your data using the following visualization types:

• Cross tabs
• Heat maps
• Distribution charts
• Tree maps
• Pie charts and bar charts
• Dual axis and combo charts with different mark types
• Box plots
• Highlight tables
• Scatter plots

This course is about 50% hands-on lab and 50% lecture, with multiple practical exercises designed to reinforce core skills and concepts taught throughout the course.  Students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, hands-on lab exercises, and lab review. This course is “skills-centric”, designed to train attendees in essential Tableau data handling functions and reporting skills, coupling the most current, effective techniques with the soundest practices.

Individuals working with data-regardless of technical or analytical background are a fit for this course.

This is an introductory-level Tableau course geared for attendees new to using the tool, or for those who want a refresher of the basics or newer features.  Ideal attendees would be beginner Tableau users who want to quickly get up to speed with intermediate level Tableau features and functions.