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Course Description
Tableau has emerged as a leader in data visualization. Tableau users have the ability to use data analytics to turn massive amounts of data into visualizations that can be seen and understood. Tableau’s Data Engine has the ability to translate actions into ad hoc queries and graphically express the responses very quickly. In this course students learn to connect to data, navigate the Tableau interface, build and format visualizations, and build interactive dashboards. Other topics include Tableau Architecture, Filters, Graphs, Maps, Table Calculations, and Aggregating data.
Course Outline
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Tableau and Data Visualization
- What is Data Visualization
- Analyze Existing Tableau Workbooks
- Create a New Workbook
- Using Show Me
- Sharing Tableau Workbooks
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Filtering
- Keep Only and Exclude
- The Filters Shelf
- Interactive Filters
- Filter Scope
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Geographic Mapping
- Geographic Dimensions/Geocoding
- Latitude/Longitude Combined with Background Maps
- Symbol Maps
- Filled Maps
- Map Layers
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Date/Time Analysis
- Navigating Date Hierarchies
- Discrete/Continuous Dates
- Date Filters
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Customized Calculations
- Ad-Hoc Versus the Calculation Editor
- Parts of Calculated Fields
- Calculated Field Data Types
- Aggregation Options
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Quick Table Calculations
- “Second Pass” Table Calculations
- Table Calculation Scope and Direction
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Interactive Dashboards
- Setting Dashboard Size
- Adding Worksheets
- Customizing Legend and Filter Appearance
- Dashboard Interactivity
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Guided Analysis with Stories
- Setting Story Size
- Adding Worksheets, Dashboards, and Text to Story Points
- Modifying Sheet State
- Formatting Stories
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Customizing the Data Source (optional)
- Joining Tables
- Data Pane Customization
- Saving Custom Data Sources
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Additional Chart Types
- Measure Names/Measure Values
- Show Me Charts
Additional Information
Please note that the curriculum in TAB100 is equivalent to taking TAB101, TAB102 and TAB103.Prerequisites
Participants should have a basic familiarity with introductory data source concepts (tables, rows/columns, records/fields).Duration
12 Hours | 2 Days or 4 NightsApplies Towards the Following Certificates
- Data Analyst I Professional : Required
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