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