Authoring Visual Analytics using Amazon QuickSight

In this course, you will build a data visualization solution using Amazon QuickSight. QuickSight allows everyone in your organization to understand your data by exploring through interactive dashboards, asking questions in natural language, or automatically looking for patterns and outliers powered by machine learning. 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.                                                                  

Explain the benefits, use cases, and key features of Amazon QuickSight

• Explain the benefits and key features of QuickSight Q to enhance the dashboard user experience
• Design, create, and customize QuickSight dashboards to visualize data and extract business insights from it
• Select and configure appropriate visualization 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

Completed Data Analytics Fundamentals

• Students with a minimum one-year experience authoring visual analytics will benefit from this course. We recommend that attendees of this course have:

Data and business analysts who build and manage business analytics dashboards