AWS Analytics Fundamentals: S3, Athena, Glue, and QuickSight

Modern data analysis requires flexible, scalable cloud infrastructure, but navigating cloud analytics services can feel overwhelming for newcomers. This text-based course breaks down the essential AWS analytics stack into structured, easy-to-follow reading modules and practical walkthroughs. You will gain a solid working understanding of how cloud data pipelines operate, from raw data storage to interactive business dashboards. Through guided explanations and written exercises, you will learn to orchestrate data transformations and run serverless SQL queries efficiently. What you'll learn: - Understand core cloud analytics terminology, storage tiers, and data lake architecture in S3 - Configure AWS Glue crawlers and data catalogs to automate metadata discovery - Prepare and clean datasets visually using AWS Glue DataBrew workflows - Execute serverless SQL queries on structured and semi-structured data with Athena - Design interactive business intelligence dashboards and reports in QuickSight - Apply data partitioning and cost-optimization best practices for cloud queries The course begins with foundational concepts and service definitions before guiding you step by step through data storage, transformation, querying, and reporting. Designed entirely for beginners, no prior cloud computing or data engineering experience is required to get started. Start reading today to build your foundational cloud analytics toolkit.