Authoring Visual Analytics Using Amazon QuickSight

Course subjects

Module 1: Introduction and Overview of Amazon QuickSight

• Introducing Amazon QuickSight

• Why use Amazon QuickSight for data visualisation

Module 2: Getting Started with Amazon QuickSight

• Interacting with Amazon QuickSight

• Loading data into Amazon QuickSight

• Visualising 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: Optimise the size, layout, and aesthetics of a dashboard

• Enhancing visualisations 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

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 visualisations

Module 7: Exploring machine learning capabilities

• Introducing Machine Learning (ML) insights

• Natural Language Query with QuickSight Q

• Demonstration: Using QuickSight 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
  

Please note: This is an emerging technology course. Course outline is subject to change as needed.