BI Foundations: SQL, ETL, and Data Warehouse Design

In today's data-driven world, organizations rely on clean, structured data to make critical decisions. Understanding how to collect, store, and transform this data is the first step toward a successful career in business intelligence. This text-based course guides you through the foundational concepts of business intelligence (BI). You will learn how to write SQL queries to extract data, design efficient data warehouses using dimensional modeling, and build robust ETL (Extract, Transform, Load) processes to prepare data for analysis. What you'll learn: - Understand core BI concepts, terminology, and the architecture of modern data systems. - Write SQL queries to filter, aggregate, and join data from multiple database tables. - Design data warehouses using dimensional modeling techniques like star and snowflake schemas. - Create ETL and ELT data pipelines to clean, transform, and load data efficiently. - Apply data quality checks and validation techniques to ensure reliable BI reporting. The course starts with essential definitions and database fundamentals before progressing to SQL practice, data warehouse design principles, and step-by-step pipeline construction. You will read through practical scenarios and analyze real-world data design challenges. This course is designed for absolute beginners with no prior experience in database administration or programming. Start your journey into the world of data analytics and business intelligence today.