Amazon QuickSight Advanced Business Intelligence Authoring (Part 2)

This course is part of a two-part series. In this series, learners will learn how to author business intelligence experiences using Amazon QuickSight.

In this second course, you will learn practical knowledge on building interactivity, including filters, actions, navigation, and sheets. You will learn about QuickSight security and how to set up row-level security and column-level security. You will learn how to manage Q topics and perform anomaly detection and forecasting in QuickSight. Finally, you will learn about paginated reporting and data export.

• Course level: Intermediate
• Duration: 1.5 hours

Activities

This course includes presentations, demonstrations, videos, and knowledge checks.

Course objectives

In this course, you will learn to do the following:

• Author business intelligence (BI) analysis, dashboards, and reports using advanced techniques and features in QuickSight.
• Create visualizations using various visualization types, and build interactivity and machine learning (ML).
• Differentiate between access types for QuickSight assets, and Author and Admin roles, including how to grant access to these assets and apply row-level and column-level security.
• Create paginated reporting and perform a data export.

Intended audience

This course is intended for the following job roles:

• Data analysts
• BI analysts
• Data engineers
• BI engineers
• BI architects

Prerequisites

We recommend that attendees of this course have completed the following courses:

Amazon QuickSight Advanced Business Intelligence Authoring (Part 1)

Data Analytics Fundamentals

Course outline

Interactivity and ML

• Interactivity
• Machine Learning
• Natural Language Query

Security

• Security Model
• Shared Responsibility Model
• Author Compared to Admin

Reporting and Data Export

• Paginated Reporting and Report Scheduling
• Data Export

Module 1 description

You will learn how to build interactivity into your dashboard using drilldown, actions, filters, and parameters. You will explore how you can use ML and natural language query in your analysis.

Module 2 description

You will learn about the types of access to QuickSight assets, how you grant access to assets, and how to apply row-level and column-level security. You will review the shared responsibility model and explore how the roles of Author and Admin can share content and how they differ.

Module 3 description

You will review the Reporting and Data Export module, where you will create a paginated report and explore data export options.