Module 1: Introduction and Overview of Amazon QuickSight
- Introducing Amazon QuickSight
- Why use Amazon QuickSight for data visualization
Module 2: Getting Started with Amazon QuickSight
- Interacting with Amazon QuickSight
- Loading data into Amazon QuickSight
- Visualizing data in Amazon QuickSight
- Demonstration: Walkthrough of Amazon QuickSight interface
- Practice Lab: Create your first dashboard
Module 3: Enhancing and Adding Interactivity to Your Dashboard
- Enhancing your dashboard
- Demonstration: Optimize the size, layout, and aesthetics of a dashboard
- Enhancing visualizations with interactivity
- Demonstration: Walkthrough of dashboard interactivity features
- Practice Lab: Enhancing your dashboard
- Module 4: Preparing Datasets for Analysis
- Working with datasets
- Demonstration: Transform your datasets for analysis
- Practice Lab: Preparing data for analysis
Module 5: Performing Advanced Data Calculations
- Transform data using advanced calculations
- Practice Lab: Performing advanced data calculations
Activity: Designing a Visual Analytics Solution
Day 2
Module 6: Overview of Amazon QuickSight Security and Access Control
- Overview of Amazon QuickSight security and access control
- Dataset access control in Amazon QuickSight
- Lab: Implementing access control in Amazon QuickSight visualization
Module 7: Exploring machine learning capabilities
- Introducing Machine Learning (ML) insights
- Natural Language Query with QuickSight Q
- Demonstration: Using Quick Sight Q
- Lab: Using machine learning for anomaly detection and forecasting
End-of-day challenge labs
- Join data sources together
- Create a dashboard
- Enhance the dashboard and add interactivity
- Perform advanced data calculations
- Integrate machine learning tools into the dashboard