Live-Online: Authoring Visual Analytics with Amazon QuickSight

Introduction

• Introduction to course
• Access to resources (Hands-on lab interface, instructions)

Module 1: Introduction and overview of Amazon QuickSight

• What is QuickSight and key features?
• Why use QuickSight for data visualization?
• Common Use-Cases

Module 2: Getting Started with Amazon QuickSight

• Loading data
• Visualizing data
• Demo of the QuickSight interface
• Hands-on Lab: Creating your first dashboard

Module 3: Enhancing and adding interactivity to your dashboard

• Overview of techniques to enhance the usability of your dashboard
• Optimizing the size, layout, and aesthetics of a dashboard
• Adding interactivity
• Hands-on Lab: Enhancing your dashboard

Module 4: Preparing data for analysis

• Working with datasets
• Data preparation and manipulation best practices
• Hands-on Lab: Preparing data for analysis

Module 5: Wrap Up

• Recap 

• Explaining the benefits, use cases, and key features of Amazon QuickSight
• Designing, creating, and customizing QuickSight dashboards to visualize and extract business insights from your data
• Selecting and configuring appropriate visualization types to identify, explore, and drill down on business insights
• Describing how to use one-click embed to incorporate visual analytics into applications

This course is intended for the following job roles:

• Data Analytics

Participants should have at least one year of experience in business intelligence or a similar role as well as having completed the following course: Fundamentals of Data Analysis