SQL for Data Analysis: MySQL and Business Intelligence

In today’s data-driven world, the ability to extract and interpret information from databases is a fundamental skill for any professional. Businesses rely on SQL to understand customer behavior, manage inventory, and drive strategic decisions across every department. This course takes you from a complete beginner to a confident data analyst by teaching you how to navigate and query relational databases effectively. You will learn to write precise queries that solve real-world business problems, moving beyond simple data retrieval to sophisticated analysis. By practicing with scenarios based on a retail business model, you will develop the mindset needed to turn rows of data into meaningful reports. What you'll learn: - Understand core relational database concepts and the modern SQL landscape - Extract and filter data from single tables to answer specific business questions - Connect multiple tables using advanced JOIN techniques for comprehensive reporting - Apply aggregate functions and grouping to summarize large datasets for stakeholders - Master Common Table Expressions (CTEs) to write clean and readable analysis code - Practice data modeling fundamentals to understand how information is structured and stored - Apply basic window functions to perform comparative and longitudinal analysis The journey begins with foundational terminology and database architecture, then progresses through practical query writing and complex data relationships. You will read through detailed explanations and apply your knowledge through written exercises that simulate the daily tasks of a business intelligence professional. This course is designed for absolute beginners and aspiring analysts who have no prior coding or database experience. Start building your data analysis toolkit today.