Authoring Visual Analytics Using Amazon QuickSight (ILT)

This course focuses on connecting to data sources, building visuals, designing interactivity, and creating calculations. You will learn how to apply security best practices to your analyses. You will also explore the machine learning capabilities built into QuickSight.

Duration: 2 Days

What you'll learn:

• Explain the benefits, use cases, and key features of Amazon QuickSight
• Design, create, and customise QuickSight dashboards to visualise data and extract business insights from it
• Select and configure appropriate visualisation types to identify, explore, and drill down on business insights
• Describe how to use one-click embed to incorporate analytics into applications
• Connect, transform, and prepare data for dashboarding consumption
• Perform advanced data calculations on QuickSight analyses
• Describe the security mechanisms available for Amazon QuickSight
• Apply fine-grained access control to a dataset
• Implement machine learning on data sets for anomaly detection and forecasting
• Explain the benefits and key features of QuickSight Q to enhance the dashboard user experience

Course Subjects:

• Introduction and Overview of Amazon QuickSight
• Getting Started with Amazon QuickSight
• Enhancing and Adding Interactivity to Your Dashboard
• Preparing Datasets for Analysis
• Performing Advanced Data Calculations
• Overview of Amazon QuickSight Security and Access Control
• Exploring machine learning capabilities
• End of day challenge labs

Target Audience:

• Data and business analysts who build and manage business analytics dashboards

Prerequisites:

• Attendees should have a minimum of one-year experience authoring visual analytics
• Completed Data Analytics Fundamentals