QuickSight Dashboard Authoring and Administration

• Basic understanding of data visualization concepts

Audience

• Data analysts
• Business analysts
• BI developers
• Data engineers

AWS QuickSight is a scalable, serverless, and embeddable business intelligence (BI) service developed by Amazon Web Services (AWS). It enables users to create and publish interactive dashboards that include visualizations, perform ad hoc analysis, and derive business insights from their data.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data and business analysts who wish to create, manage, and administer dashboards using Amazon QuickSight.

By the end of this training, participants will be able to:

• Understand the benefits, use cases, and key features of Amazon QuickSight.
• Learn to connect QuickSight to multiple data sources and author interactive data visualizations and dashboards.
• Apply security and access controls in QuickSight.
• Utilize machine learning capabilities built into QuickSight for enhanced data insights.
• Design, create, and customize QuickSight dashboards to extract and visualize business insights.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

• Overview of Amazon QuickSight
• Benefits and key features

Getting Started with Amazon QuickSight

• Navigating the QuickSight interface
• Connecting to data sources
• Loading and preparing data
• Basic data visualizations

Creating Your First Dashboard

• Dashboard design principles
• Selecting appropriate visualization types
• Customizing visualizations
• Creating a simple dashboard

Enhancing and Adding Interactivity to Your Dashboard

• Enhancing dashboards with interactivity
• Optimizing layout and aesthetics
• Interactive features
• Adding interactivity to dashboards

Performing Advanced Data Calculations

• Advanced data transformation techniques
• Using calculated fields and parameters
• Advanced data calculations

QuickSight Security and Access Control

• Overview of QuickSight security features
• Implementing dataset and visualization access controls
• Setting up access controls

Leveraging Machine Learning Capabilities

• Introduction to QuickSight's ML insights
• Using natural language queries with QuickSight Q
• Integrating ML tools into dashboards

Summary and Next Steps