This course helps you build strong data visualization skills by creating dynamic dashboards, analyzing complex datasets, and communicating insights clearly. Through lessons, projects, and real-world examples, you'll learn how to use Tableau's features to turn raw data into compelling visual stories. It suits beginners with no prior experience as well as those looking to sharpen their visualization skills, with step-by-step instruction that builds both confidence and practical expertise.
As you progress, you'll connect to data in multiple formats, clean and structure datasets, and create a wide range of visualizations, including bar charts, line charts, treemaps, heat maps, dual-axis charts, and interactive maps. You'll work with calculated fields, aggregations, and forecasting tools, format visuals for clarity, customize dashboards for different audiences and devices, explore advanced mapping and visualization techniques, and publish or export dashboards for professional sharing. By the end, you'll have a portfolio of polished Tableau dashboards and the skills to make data-driven decisions with confidence.
What You Will Learn
- Connect to datasets in a variety of formats, then clean, filter, and structure data for effective visual storytelling
- Build a range of visualizations including bar charts, line charts, treemaps, heat maps, dual-axis charts, and advanced types like spider maps and alluvial diagrams
- Use Tableau's calculation tools to create custom fields, apply aggregates, and dig deeper into your data analysis
- Format charts with labels, tooltips, color, and axis adjustments, and build interactive map visualizations such as choropleths and proportional symbol maps
- Tailor dashboards and stories to different audiences and screen sizes using Tableau's interactivity tools
- Publish work to Tableau Cloud and export dashboards for professional sharing and collaboration
Course Outline
Module I: Working with Your Data
Understanding Data
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What is data
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Where to find data
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Foundations for building Data Visualizations
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Tableau Versions
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Tableau Workflow
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Tableau Chart Types
Working with your Data in Tableau
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Using Data file formats
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Connecting your Data to Tableau
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Cleaning-up the data with the Data Interpreter
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Structuring your data
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Sorting and filtering Tableau data
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Pivoting Tableau data
Creating your First Visualization
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Getting started with Tableau Software
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Using Data file formats
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Connecting your Data to Tableau
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Creating basic charts (line, bar charts, Treemaps)
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Using the Show me panel
Tableau Calculations
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Overview of SUM, AVR and Aggregate features
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Creating custom calculations and fields
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Applying new data calculations to your visualization
Formatting your Visualization
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Formatting Tools and Menus
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Formatting specific parts of the view
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Editing and Formatting Axes
Working with your Data in Tableau
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Cleaning-up the data with the Data Interpreter
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Structuring your data
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Sorting and filtering Tableau data
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Pivoting Tableau data
Organizational tools
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Using Filters
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Using the Marks panel
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Using the Detail mark card
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Using the Size mark card
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Using the Label mark card
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Customizing filters
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Using and Customizing tooltips
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Formatting your data with colors
Distributing and Publishing your Visualization
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Tableau file types
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Publishing to Tableau Online
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Sharing your visualization
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Exporting your visualization
Module II: Mapping & Advanced Visualizations
Intro to mapping data
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Concepts of mapping data
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Requirements in mapping data
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Formatting geographic data for Tableau
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Using Polygon data
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Using background images
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Integrating with Map Services - Mapbox, WMS
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Customizing map layers and map options
Creating Visualization Maps
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Creating Choropleth maps
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Creating Proportional Symbol maps
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Tracking data Over Time Using Maps & Pages
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What is a Density Map?
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Distributing and Publishing your map Visualization
Creating a Dual Axis Chart
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Dual Axis Charts
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Dual Axis (Layered) Maps
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Benefits of dual axis charts
More Chart Types
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Cyclical data and circular area chart
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Alluvial Diagram
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Ranking Chart
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Creating Spider maps
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Creating Heat maps
Creating dashboards and Stories
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Using Storytelling
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Creating your first dashboard and Story
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Design for different displays
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Adding interactivity to your Dashboard
Modifying and Updating Data
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Relinking Data Sources
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Swapping out Data Sources
Individualized Project Work
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Students will work with either provided data sets or their own data to work on individual projects during this supervised classroom time.