Authoring Visual Analytics Using Amazon QuickSight

Last Updated: 08-03-2025

The Authoring Visual Analytics Using Amazon QuickSight course is designed for data analysts, business intelligence (BI) professionals, and decision-makers who want to master the art of creating powerful, interactive visualizations and dashboards with Amazon QuickSight. This hands-on course covers everything from data preparation and importing datasets to building insightful, user-friendly visualizations and reports. You’ll learn how to leverage QuickSight's advanced features like SPICE (Super-fast, Parallel, In-memory Calculation Engine), ML-powered insights, and embedded analytics to deliver data-driven business solutions. By the end of this course, you’ll be equipped to create compelling visual analytics that help organizations make faster, more informed decisions.

Schedule & Fee
Learning Objectives
Prerequisites
Target Audience
Course Modules
FAQs

Schedule	Learners	Course Fee (Incl. of all Taxes)	Register Your Interest
December 20^th - 21^st 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 16 Hours)		10% Off $640 $576 Fast Filling! Hurry Up.
December 22^nd - 23^rd 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 16 Hours) Guaranteed-to-Run		10% Off $640 $576
December 27^th - 28^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 16 Hours)		10% Off $640 $576
January 03^rd - 04^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 16 Hours)		20% Off $640 $512
January 05^th - 06^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 16 Hours)		20% Off $640 $512
January 10^th - 11^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 16 Hours)		20% Off $640 $512
January 12^th - 13^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 16 Hours)		20% Off $640 $512
January 17^th - 18^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 16 Hours)		20% Off $640 $512
January 19^th - 22^nd 06:00 AM - 10:00 PM (CST) Live Virtual Classroom (Duration : 16 Hours)		20% Off $640 $512
January 26^th - 27^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 16 Hours) Guaranteed-to-Run		20% Off $640 $512

Course Prerequisites

Basic knowledge of data analysis and statistics.
Familiarity with business intelligence (BI) concepts is helpful but not mandatory.
Experience working with AWS services like Amazon S3 and IAM is beneficial.
Recommended: Familiarity with Excel or other data tools for creating charts, graphs, and reports.

Learning Objectives

By the end of this course, you will be able to:

Understand the core features and architecture of Amazon QuickSight, including SPICE and dashboards.
Import, prepare, and clean data for visualization in QuickSight from various sources like Amazon S3, RDS, Redshift, and third-party services.
Design and create interactive, visually appealing dashboards that update in real-time.
Leverage QuickSight’s ML-powered capabilities to add predictive analytics and anomaly detection to your visualizations.
Create dynamic and interactive visualizations such as bar charts, pie charts, line graphs, heat maps, and geographic maps.
Use filters, parameters, and drill-down features to allow users to explore data on demand.
Apply best practices for data visualization to ensure clarity, effectiveness, and user engagement.
Integrate Amazon QuickSight with other AWS services like AWS Glue for data preparation and AWS Lambda for custom functions.
Embed visualizations and dashboards into web applications or business portals using QuickSight’s SDKs and APIs.
Monitor dashboard performance and optimize data refresh strategies for efficient reporting.

Target Audience

This course is ideal for:

Data analysts and business intelligence professionals who want to improve their data visualization and reporting skills.
Managers and business leaders seeking to gain deeper insights from data through interactive dashboards and visual analytics.
Developers and engineers looking to integrate visual analytics into applications using Amazon QuickSight.
Anyone interested in learning how to create impactful, interactive data visualizations using a fully managed AWS service.

Course Modules

Module 1: Introduction to Amazon QuickSight

What is Amazon QuickSight?
QuickSight features and capabilities
Types of visualizations in QuickSight

Module 2: Setting Up QuickSight

Configuring QuickSight accounts and permissions
Connecting QuickSight to data sources (e.g., AWS data services, CSV, and databases)
Understanding data sets and SPICE (Super-fast, Parallel, In-memory Calculation Engine)

Module 3: Data Preparation and Transformation

Preparing and transforming data for analysis
Using the built-in data wrangling features of QuickSight
Data filters and calculations

Module 4: Building Visualizations and Dashboards

Creating and customizing visualizations
Best practices for dashboard design
Interactivity in dashboards (e.g., filters, drill-downs)

Module 5: Advanced Analytics Features

Using ML Insights for anomaly detection and forecasting
Implementing machine learning models in QuickSight
Advanced visualizations with QuickSight

Module 6: Sharing and Collaboration

Sharing dashboards with users
Setting up scheduled reports and alerts
Embedding QuickSight visualizations in applications

Module 7: Performance and Optimization

Optimizing SPICE usage
Performance tuning for large datasets
Best practices for efficient use of resources

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