Course Overview
Authoring Visual Analytics Using Amazon QuickSight is an advanced AWS classroom training course focused on building data visualization solutions using Amazon QuickSight. The course covers connecting to data sources, preparing datasets, creating visualizations, and designing interactive dashboards to explore data and derive business insights.
Participants learn to enhance dashboard design and interactivity, perform advanced data calculations, implement security and fine-grained dataset access controls, and use embedded analytics capabilities. The course also introduces QuickSight machine learning capabilities, including anomaly detection, forecasting, and natural language querying with QuickSight Q. Practical labs, demonstrations, and challenge activities provide hands-on experience throughout the course.
Course Objective
- Explain the benefits, use cases, and key features of Amazon QuickSight
- Design, create, and customize QuickSight dashboards to visualize data and derive business insights
- Select and configure appropriate visualization types for exploring and drilling down into business insights
- Describe how one-click embedding can incorporate analytics into applications
- Connect, transform, and prepare data for dashboard consumption
- Perform advanced data calculations in QuickSight analyses
- Explain the security mechanisms available in Amazon QuickSight
- Apply fine-grained access control to QuickSight datasets
- Implement machine learning capabilities for anomaly detection and forecasting
- Explain the benefits and key features of QuickSight Q
Pre-requisites
Participants should have a minimum of one year of experience authoring visual analytics. Completion of Data Analytics Fundamentals is recommended.
Course Curriculum
