McTimothy Associates

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Tableau Data Visualizations

Why Attend

This two-day Tableau Data Analytics class provides techniques for going beyond spreadsheets and tables mechanics and helps you design a visual 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.

$ 195.53

Event Date: 18/04/2024 – 20/04/2024

Total:

More Dates

04/07/2024 – 06/07/2024

Price: $ 195.53

20/11/2024 – 22/11/2024

Price: $ 195.53

Course Outline

Module 1: 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

Module 2: Introduction to Tableau
Using Tableau
My Tableau Story
Tableau Products
Connecting to Data
The Tableau User Interface

Module 3: How Much and How Many
Communicating “How Much”
An Example of How Much
Comparing Comparisons

Module 4: Fine-Tuning the Default
Sorting
The Dot Chart
Communicating “How Many”
A Tale of Two Formats
Counting Dimensions
Histograms: How Many of How Much

Module 5: Ratios and Rates
Ratios
Two Ways of Adding Rank
Rates
Blending Data Sources
Visualizing Rates

Module 6: Proportions and Percentages
Part-to-Whole
Introducing Filters and Quick Filters
Introducing Table Calculations
Proportions as Waterfall Charts Using Gantt
Current-to-Historical
The Bullet Graph
Reference Lines
Actual-to-Target

Module 7: 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

Module 8: 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

Module 9: Multiple Quantities
Scatterplots
Who Is Who
Making it Exploratory
Adding Background Images
Stacked Bars
Regression and Trend Lines
The Quadrant Chart

Module 10: 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

Module 11: 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

Module 12: Advanced Maps
Maps with Shapes
Maps Showing Paths
Plotting Map Shapes Using Axes

Module 13: The Joy of Dashboards
Dashboards in Tableau
A Word of Caution
Begin with the End in Mind
Types of Dashboards
Context Is King

Module 14: 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

Module 15: 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
Dashboard
Adding YouTube Videos to Dashboards

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