SQL Analytics: Window Functions, Transactions, and Stored Procedures in MySQL

Writing basic SQL queries is a great start, but real-world data analysis and application development require deeper database control. To solve complex business problems, you need to master advanced techniques like running calculations across rows, managing concurrent operations, and automating database logic. This written course guides you from basic query writing to advanced database engineering and data analytics. You will understand how to construct sophisticated analytical queries and implement robust database logic to ensure data integrity and performance. What you'll learn: - Understand the core syntax and behavior of window functions for running totals, rankings, and moving averages. - Apply Common Table Expressions (CTEs) to organize complex analytical queries into readable, maintainable blocks. - Manage database transactions and control concurrency using isolation levels to prevent data corruption. - Build reusable database logic with stored procedures, functions, and triggers in MySQL. - Optimize query performance using fundamental indexing strategies and execution plan analysis. You will start by establishing a solid foundation in database theory and terminology before moving on to hands-on analytical exercises. Through structured, text-based explanations and realistic query examples, you will practice writing advanced SQL code that solves actual business scenarios. This course is designed for database beginners who already know basic SELECT statements and want to transition into data analysis, backend development, or database administration. No advanced programming experience is required. Start reading today to unlock the full analytical power of your relational databases.