Authoring Visual Analytics Using Amazon QuickSight

Description

Overview:

In this course, students will use Amazon QuickSight to build a data visualization solution. By using Amazon QuickSight, everyone in an organization can understand your data, exploring 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. Students will learn how to apply security best practices to their analyses. Students will also explore the machine learning capabilities built into QuickSight.

Course Objectives:

In this course, students will 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 one-click embed 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 data sets for anomaly detection and forecasting
• Explain the benefits and key features of QuickSight Q to enhance the dashboard user experience

Pre-requisites:

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

• Completed Data Analytics Fundamentals

Audience:

This course is intended for:

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

Outline:

Module 1: Introduction and Overview of Amazon QuickSight

Module 2: Getting Started with Amazon QuickSight

Lab 1: Creating Your First Dashboard

Module 3: Adding Interactivity and Enhancing Your Dashboard

Lab 2: Adding Interactivity and Enhancing Your Dashboard

Module 4: Preparing Datasets for Analysis

Lab 3: Preparing Datasets for Analysis

Module 5: Performing Advanced Data Calculations

Lab 4: Performing Advanced Data Calculations

Module 6: Restricting Access to Amazon QuickSight Datasets

Lab 5: Implementing Fine-Grained Access Control in Amazon QuickSight Datasets

Module 7: Exploring Machine Learning Capabilities

Lab 6: Using Machine Learning for Anomaly Detection and Forecasting

Course Wrap-Up

End of Course Challenge Labs