Tableau Data Visualizations

Overview
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.

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 course delivers 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

Prerequisites
You should have taken the Basic Tableau business intelligence course, intermediate tableau intelligence course 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
  
  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