In this course, you use Amazon QuickSight to build a data visualization solution. This course focuses on connecting to data sources, building visuals, designing interactivity, and creating calculations. Examine how to apply security best practices to your analyses. You also explore the machine learning capabilities built into QuickSight.

Course Objectives

In this course, you learn to:

• Explain the benefits, use cases, and key features of Amazon QuickSight
• Design, create, and customize Amazon QuickSight dashboards to visualize data and extract business insights from it
• Select and configure appropriate visualization types to identify, explore, and drill down on business insights
• Describe how to use 1-click embedding to incorporate analytics into applications
• Connect, transform, and prepare data for dashboarding consumption
• Perform advanced data calculations on Amazon QuickSight analyses
• Describe the security mechanisms available for Amazon QuickSight
• Apply fine-grained access control to a dataset
• Implement machine learning on datasets for anomaly detection and forecasting
• Explain the benefits and key features of QuickSight Q to enhance the dashboard user experience

Intended Audience

This course is intended for:

• Data and business analysts who build and manage business analytics dashboards

Prerequisites

Learners with a minimum 1-year experience authoring visual analytics will benefit from this course. We recommend that attendees of this course have:

• Completed Data Analytics Fundamentals

Course Outline

Course Overview

Module 1 – Introduction and Overview of Amazon QuickSight

Module 2 – Getting Started with Amazon QuickSight

Module 3 – Enhancing and Adding Interactivity to your Dashboard

Module 4 – Preparing Datasets for Analysis

Module 5 – Performing Advanced Data Calculations

Module 6 – Restricting Access to Amazon QuickSight Datasets

Module 7 – Exploring Machine Learning Capabilities

Challenge Lab