Amazon AWS QuickSight, Glue, Athena and S3 Fundamentals

In today’s data-driven world, the ability to process, manage, and visualize large volumes of data is essential for businesses of all sizes. This comprehensive course introduces you to AWS’s powerful suite of tools for big data analytics: Amazon QuickSight, Glue, Athena, and S3. Whether you're a data analyst, business intelligence (BI) professional, or someone transitioning to cloud-based analytics, this course equips you with practical skills and knowledge to thrive.
You’ll learn to build complete analytics workflows starting with data storage in S3, using AWS Glue for data cataloging and transformation, running queries on your datasets using AWS Athena, and finally, creating compelling visualizations with Amazon QuickSight. We’ll guide you through importing datasets, configuring a Virtual Private Cloud (VPC), building databases and tables, and working with multiple datasets.
The course also includes a comparison of AWS QuickSight vs Microsoft Power BI, helping you make informed tool choices based on business needs.
With a flipped-classroom style and step-by-step guidance, you’ll gain hands-on experience that prepares you for real-world applications in business intelligence and data analytics—culminating in a certificate of completion to showcase your skills.

Learning Objectives
By the end of this course, you will be able to:
• Create powerful data visualizations using Amazon QuickSight
• Understand the fundamentals of serverless computing using Athena and Glue
• Import and manage datasets in Amazon S3
• Build and configure a Virtual Private Cloud (VPC) for secure data access
• Create a data lake and develop complete data workflows using AWS tools
• Work with databases, tables, and multiple datasets in AWS
• Understand the key differences between Power BI and AWS QuickSight
• Gain hands-on experience with key AWS services for analytics

Target Audience
This course is ideal for:
• Data Analysts seeking cloud-based BI solutions
• Business Analysts wanting to enhance their analytics capabilities
• IT professionals looking to transition into cloud data services
• Professionals evaluating AWS QuickSight vs Microsoft Power BI
• Beginners in AWS analytics seeking foundational, practical knowledge

Prerequisites
To get the most out of this course, learners should have:
• An AWS account (Free Tier or Paid — credit card required to sign up)
• Basic knowledge of SQL (desirable but not mandatory)
• A general understanding of AWS services (optional but helpful)
• A willingness to learn through hands-on application