Simplify Data Analysis with the Scenario Capability of Amazon Q in QuickSight

Overview

Discover how Amazon Q in QuickSight simplifies data analysis with AI-powered scenario capabilities, allowing users to explore data through natural language queries and receive step-by-step guidance without specialized skills.

Syllabus

• Introduction to Amazon QuickSight and Amazon Q
Overview of Amazon QuickSight
Introduction to Amazon Q scenario capabilities
Benefits of AI-powered data analysis
• Setting Up Amazon QuickSight
Creating and configuring a QuickSight account
Connecting data sources
Exploring sample datasets
• Understanding Natural Language Queries
Basics of natural language processing in QuickSight
Formulating effective queries
Hands-on practice with natural language queries
• Exploring Data with Amazon Q Scenarios
Introduction to scenario-based analysis
Creating and managing scenarios
Use cases and applications
• Guided Analysis with Step-by-Step Guidance
How Amazon Q guides users through analysis
Interpreting insights and recommendations
Customizing guidance and reports
• Visualizing Data Insights
Creating visualizations in QuickSight
Customizing dashboards and reports
Using insights for decision-making
• Best Practices for Data Analysis with QuickSight
Ensuring data accuracy and consistency
Incorporating user feedback for better analysis
Future-proofing your data analysis strategy
• Use Cases and Success Stories
Real-world applications of QuickSight scenario capabilities
Case studies and industry examples
• Course Wrap-Up and Q&A
Recap of key learnings
Resources for further learning
Open floor for questions and discussion
• Assessment and Certificate of Completion
Summary project or quiz
Criteria for certification

Subjects

Programming