In this course, you will build a data visualization solution using Amazon QuickSight. QuickSight allows everyone in your organization to understand your data by exploring through interactive dashboards, asking questions in natural language, or automatically looking for patterns and outliers powered by machine learning. This course focuses on connecting to data sources, building visuals, designing interactivity, and creating calculations. You will learn how to apply security best practices to your analyses. You will also explore the machine learning capabilities built into QuickSight.Course level: Advanced
 

In this course, you will learn to:

• Explain the benefits, use cases, and key features of Amazon QuickSight
• Design, create, and customize 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 one-click embed to incorporate analytics into applications
• Connect, transform, and prepare data for dashboarding consumption
• Perform advanced data calculations on QuickSight analyses
• Describe the security mechanisms available for Amazon QuickSight
• Apply fine-grained access control to a dataset
• Implement machine learning on data sets for anomaly detection and forecasting
• Explain the benefits and key features of QuickSight Q to enhance the dashboard user experience

Day 1Module 1: Introduction and Overview of Amazon QuickSight

• Amazon QuickSight
• use Amazon QuickSight for data visualization

Module 2: Getting Started with Amazon QuickSight

• with Amazon QuickSight
• data into Amazon QuickSight
• data in Amazon QuickSight
• Walkthrough of Amazon QuickSight interface
• Lab: Create your first dashboard

Module 3: Enhancing and Adding Interactivity to Your Dashboard

• your dashboard
• Optimize the size, layout, and aesthetics of a dashboard
• visualizations with interactivity
• Walkthrough of dashboard interactivity features
• Lab: Enhancing your dashboard

Module 4: Preparing Datasets for Analysis

• with datasets
• Transform your datasets for analysis
• Lab: Preparing data for analysis

Module 5: Performing Advanced Data Calculations

• data using advanced calculations
• Lab: Performing advanced data calculations

Activity: Designing a Visual Analytics Solution Day 2 Module 6: Overview of Amazon QuickSight Security and Access Control

• of Amazon QuickSight security and access control
• access control in Amazon QuickSight
• Implementing access control in Amazon QuickSight visualizations

Module 7 : Exploring machine learning capabilities

• Machine Learning (ML) insights
• Language Query with QuickSight Q
• Using QuickSight Q
• Using machine learning for anomaly detection and forecasting

End of day challenge labs

• data sources together
• a dashboard
• the dashboard and add interactivity
• advanced data calculations
• machine learning tools into the dashboard

This course is intended for:

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

No certification available.

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

• Data Analytics Fundamentals