Tableau Visual Analytics Training

In this Tableau Visual Analytics course, you will learn to empower your organisation by utilising self-service BI platforms to work with data analytics and gain access to critical business information.

Tableau Visual Analytics Delivery Methods

• In-Person

• Online

Tableau Visual Analytics Course Benefits

• Create interactive visualisations 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 visualisations 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

• Continue learning and face new challenges with after-course one-on-one instructor coaching

Tableau Visual Analytics Course Outline

Module 1: Getting Started with Tableau

Employing visual analysis and analytics

• Appreciating the impact of Big Data on visualisation
• Handling large volumes of data
• Presenting visualisations to analysts and business users

Exploring Tableau

• Utilising the Tableau interface components
• Distinguishing measures and dimensions
• Generating basic visualisations

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
• Categorising data with Marks

Graphing data

• Constructing a histogram
• Filtering to reduce the volume of data
• Sorting to impose order
• Organising 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 visualisation 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

• Categorising with the symbol map and filled map
• Customising 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