Course Description
Short Course | 12 hours | 1.2 CEUs | $1,275
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.
Data Visualization with Tableau - Introduction can apply to either the Tableau Certificate, or the Data Analyst I Professional Certificate.
TAB100 is the first course in the Tableau Certificate. To complete the certificate students will also enroll in TAB200. Click on each course link for more details and to add to cart.
OR
TAB100 is taken as part of the Data Analyst I Professional Certificate. To complete the certificate students will also enroll in PYT100, BID615, & SQL100. Click on each course link for more details and to add to cart.
Course Outline
- Tableau and Data Visualization
- What is Data Visualization
- Analyze Existing Tableau Workbooks
- Create a New Workbook
- Using Show Me
- Sharing Tableau Workbooks
- Filtering
- Keep Only and Exclude
- The Filters Shelf
- Interactive Filters
- Filter Scope
- Geographic Mapping
- Geographic Dimensions/Geocoding
- Latitude/Longitude Combined with Background Maps
- Symbol Maps
- Filled Maps
- Map Layers
- Date/Time Analysis
- Navigating Date Hierarchies
- Discrete/Continuous Dates
- Date Filters
- Customized Calculations
- Ad-Hoc Versus the Calculation Editor
- Parts of Calculated Fields
- Calculated Field Data Types
- Aggregation Options
- Quick Table Calculations
- “Second Pass” Table Calculations
- Table Calculation Scope and Direction
- Interactive Dashboards
- Setting Dashboard Size
- Adding Worksheets
- Customizing Legend and Filter Appearance
- Dashboard Interactivity
- Guided Analysis with Stories
- Setting Story Size
- Adding Worksheets, Dashboards, and Text to Story Points
- Modifying Sheet State
- Formatting Stories
- Customizing the Data Source (optional)
- Joining Tables
- Data Pane Customization
- Saving Custom Data Sources
- Additional Chart Types
- Measure Names/Measure Values
- Show Me Charts
Prerequisites
- Participants should have a basic familiarity with introductory data source concepts (tables, rows/columns, records/fields).
Duration
12 Hours | 2 Days or 4 Nights*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.