Amazon QuickSight - Getting Started
Offered By: Amazon Web Services via AWS Skill Builder
Course Description
Overview
We have updated this course on June 29, 2023 to correct a problem that was impacting course completion. If you are enrolled in the course and have not completed it, your progress may be impacted. We apologize for any inconvenience this may cause.
Amazon QuickSight is a cloud-scale business intelligence (BI) service that you can use to create and publish interactive dashboards. You can access these from browsers or mobile devices. As a fully managed cloud-based service, QuickSight combines data from many different sources and provides user management tools that you can use to scale from a few users to millions.
In this course, you will learn about the benefits and technical concepts of QuickSight. You will learn about the architecture and built-in features. You will have an opportunity to try key features through demonstrations.
- Course level: Fundamental
- Duration: 60 minutes
Activities
This course includes demonstrations, videos, and assessments.
Course objectives
In this course, you will learn to do the following:
- Understand how QuickSight works.
- Familiarize yourself with the technical concepts of QuickSight.
- List typical use cases for QuickSight.
- Recognize the benefits of QuickSight.
- Explain the cost structure of QuickSight.
- Design, create, and customize QuickSight dashboards to visualize data and extract business insights.
Intended audience
This course is intended for the following:
- BI developers
- Business analysts
- Data analysts
- BI managers
Prerequisites
We recommend that attendees have a basic understanding of BI and visual analytics concepts.
Course outline
- Module 1: Introduction to QuickSight
- Module 2: Architecture and Use Cases
- Module 3: How Do I Create a QuickSight Dataset?
- Module 4: How Do I Create a QuickSight Analysis?
- Module 5: How Do I Customize QuickSight Using Themes?
- Module 6: How Do I Publish a QuickSight Dashboard?
- Module 7: How Do I Use QuickSight Q to Ask Natural Language Questions?
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