Data Analytics Fundamentals on AWS: From Raw Data to Insights

In today's data-driven world, organizations rely on cloud platforms to turn massive amounts of raw information into strategic decisions. Understanding how to navigate cloud-based data pipelines is an essential skill for any aspiring data professional. This text-based course guides you through the core concepts of data analytics and shows you how to apply them using AWS. You will transition from understanding fundamental data types to exploring cloud analytics services, giving you the practical knowledge needed to build modern, scalable data workflows. What you'll learn: - Understand the four key types of data analytics: descriptive, diagnostic, predictive, and prescriptive. - Explore foundational cloud data storage concepts using S3 and modern data lake architectures. - Analyze datasets using serverless query tools like Athena to extract meaningful business insights. - Catalog and prepare structured and unstructured data using Glue. - Apply data visualization principles to present your findings clearly and effectively. You will start by mastering core analytical definitions and methodologies before moving on to practical cloud-based scenarios. Through clear written explanations and step-by-step query walkthroughs, you will build a solid foundation in modern cloud data pipelines. This course is designed for beginners who are new to data analytics and cloud technologies, with no prior cloud experience required. Start your journey into cloud data analytics today and learn how to unlock the power of your data.