Tableau Visual Analytics Training
Course Outline
In this Tableau Visual Analytics course, you will learn to empower your organization by utilizing self-service BI platforms to work with data analytics and gain access to critical business information.
Tableau Visual Analytics Training Benefits
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In this course, you will learn how to:
- Create interactive visualizations to deliver business insights
- Extract business intelligence by adding value to your data
- Integrate data from multiple heterogeneous sources
- Generate Tableau maps for geographical data
- Share a story using dashboards to highlight your discoveries
- Learn to develop visualizations from data models that use real-time data
- Build and publish interactive dashboards
- Gain exposure to a broad range of data sources, including big data frameworks
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Prerequisites
None.
Tableau Visual Analytics Course Outline
Module 1: Getting Started with Tableau
Employing visual analysis and analytics
- Appreciating the impact of Big Data on visualization
- Handling large volumes of data
- Presenting visualizations to analysts and business users
Exploring Tableau
- Utilizing the Tableau interface components
- Distinguishing measures and dimensions
- Generating basic visualizations
Module 2: Data Visualizations for Business Intelligence
Accessing a single data source
- Extracting data from Excel and text files
- Pulling data from Microsoft Access
Working with marks and views
- Applying different Views for finding value
- Categorizing data with Marks
Graphing data
- Constructing a histogram
- Filtering to reduce the volume of data
- Sorting to impose order
- Organizing data by grouping
Module 3: Loading Data into Tableau
Modifying the Tableau data schema
- Declaring data types
- Aliasing column headings
- Resolving issues with the Data Interpreter
- Contrasting live connections versus extracts
Importing from multiple data sources
- Reading Excel and text files
- Integrating a Microsoft Access table
- Executing a database join
Connecting to an enterprise database
- Selecting data from a relational database
- Consuming data from a big data framework
Combining data with joins and blends
- Joining heterogeneous tables
- Integrating sources by blending data
Module 4: Building Advanced Visualizations
Leveraging visualization techniques
- Generating Crosstabs and Pivot Tables
- Establishing hierarchies and drilling down
- Defining sets and subsets
- Dividing the view into pages
Applying parameters
- Slicing a view with filers
- Specifying data with a selector
Charting with advanced features
- Reviewing available chart templates
- Employing combination charts
- Exploiting trends and moving averages
Module 5: Leveraging Table Calculations
Calculated fields
- Formulating a calculation to enhance data
- Identifying calculation types
Table calculations
- Implementing quick table calculations
- Editing table calculations for a refined data view
- Creating a level of detail calculations
Module 6: Representing Locations with Tableau Maps
Mapping geographic data
- Plotting latitude and longitude
- Adding points manually
Surveying map types
- Categorizing with the symbol map and filled map
- Customizing regions with polygon maps
Module 7: Presenting Insights
Authoring dashboards
- Assembling dashboards from views
- Linking the views for interaction
Narrating a story
- Illustrating discoveries with a story
- Capturing story points within the dashboards
Module 8: Disseminating Visualizations
- Sharing your workbook
- Publishing to the cloud
- Deploying your workbook to Tableau Server
- Administering the server
- choosing a selection results in a full page refresh