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Tableau Data Visualizations Course Outline

 (2 days)
Special Note to New Hampshire Residents
This course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.

This two-day Tableau Data Analytics class provides techniques for going beyond spreadsheets and tables mechanics and helps you design a visuals that really makes an impact and are easy to understand. This practical course shows you how to use Tableau Software to convert raw data into compelling data visualizations that provide insight or allow viewers to explore the data for themselves.

Who Should Take This Class
Experienced Tableau users who want to learn more about best practices for designing visualizations. Note that we assume you already know how to use Tableau. It is people who want to learn about proper design of visualizations so they are understandable.

Ideal for analysts, engineers, marketers, journalists, and researchers, this book describes the principles of communicating data and takes you on an in-depth tour of common visualization methods. You’ll learn how to craft articulate and creative data visualizations with Tableau Desktop

You should have taken the Tableau Desktop Level 1: Introduction and the Tableau Desktop Level 2: Intermediate classes or have had similar experience as found in those two courses.

You Will Learn How To:
Present comparisons of how much and how many
Use blended data sources to create ratios and rates
Create charts to depict proportions and percentages
Visualize measures of mean, median, and mode
Lean how to deal with variation and uncertainty
Communicate multiple quantities in the same view
Show how quantities and events change over time
Use maps to communicate positional data
Build dashboards to combine several visualizations

Course Outline

Communicating Data
A Step in the Process
A Model of Communication
Three Types of Communication Problems
Six Principles of Communicating Data
Principle #1: Know Your Goal
Principle #2: Use the Right Data
Principle #3: Select Suitable Visualizations
Principle #4: Design for Aesthetics
Principle #5: Choose an Effective Medium and Channel
Principle #6: Check the Results

Introduction to Tableau
Using Tableau
My Tableau Story
Tableau Products
Connecting to Data
The Tableau User Interface

How Much and How Many
Communicating "How Much"
An Example of How Much
Comparing Comparisons

Fine-Tuning the Default
The Dot Chart
Communicating "How Many"
A Tale of Two Formats
Counting Dimensions
Histograms: How Many of How Much

Ratios and Rates
Two Ways of Adding Rank
Blending Data Sources
Visualizing Rates

Proportions and Percentages
Introducing Filters and Quick Filters
Introducing Table Calculations
Proportions as Waterfall Charts Using Gantt
The Bullet Graph
Reference Lines

Mean and Median
The Normal Distribution
An Example of “Normal” Data
Box Plots
An Example of “Non-Normal” Data
Sensitivity to Outliers
Visualizing Typical Values of Non-Normal Distributions

Variation and Uncertainty
Respecting Variation
Visualizing Variation
Variation Over Time: Control Charts
Anatomy of a Control Chart
How to Create a Control Chart in Tableau
Understanding Uncertainty

Multiple Quantities
Who Is Who
Making it Exploratory
Adding Background Images
Stacked Bars
Regression and Trend Lines
The Quadrant Chart

Changes Over Time
The Origin of Time Charts
The Line Chart
The Dual-Axis Line Chart
The Connected Scatterplot
The Date Field Type and Seasonality
The Timeline
The Slopegraph
Step 1: Get the Data
Step 2: Connect Tableau
Step 3: Create a Parameter and Matching Calculated Field
Step 4: Create the Basic Slopegraph
Step 5: Add Line Coloring and Thickness
Step 6: Design the Dashboard

Maps and Location
One Special Map
Circle Maps
Adding a Second Encoding
When Marks Multiply
Filled Maps
Dual-Encoded Maps
A Dual-Axis Map
A Dual-Encoded Circle Map

Advanced Maps
Maps with Shapes
Maps Showing Paths
Plotting Map Shapes Using Axes

The Joy of Dashboards
Dashboards in Tableau
A Word of Caution
Begin with the End in Mind
Types of Dashboards
Context Is King

Building Dashboards
Building an Exploratory Dashboard
Step 1: Design
Step 2: Sheets
Moving Things Around
Step 3: Annotations
Step 4: Objects
Step 5: Actions
Step 6: Formatting
Steps 7 and 8: Delivery and Results
Building an Explanatory Dashboard
A Key Point to Explain: Nordic Countries in the Lead
Another Key Point to Explain: The Emergence of China

Advanced Dashboard Features
Animating Dashboards
Showing Multiple Tabs
Adding Navigation with Filters
Adding Custom Header Images
Adding Google Maps to Dashboards
Create the URLs
Adding Dynamic Google Maps Satellite Images to Our
Adding YouTube Videos to Dashboards

View outline in Word


Attend hands-on, instructor-led Tableau Data Visualizations training classes at ONLC's more than 300 locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

For additional training options, check out our list of Courses and select the one that's right for you.

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