Master advanced SQL concepts step-by-step in this comprehensive tutorial.

Learn how to use UNION and UNION ALL to combine datasets, apply powerful string functions such as UPPER(), LOWER(), LENGTH(), CONCAT(), and TRIM(), build dynamic CASE statements for data categorization, and optimize your queries with Subqueries and Common Table Expressions (CTEs). This tutorial is ideal for beginners and aspiring data analysts who want to write faster, cleaner, and more efficient SQL queries for real-world reporting and analytics. In this video, you will learn: How to use UNION and UNION ALL in SQL Essential SQL string functions for data cleaning CASE statements for conditional logic Subqueries for advanced filtering CTEs for modular and optimized SQL queries Real-world SQL examples for data analysis Whether you are preparing for a data analyst interview, improving your MySQL skills, or building a strong SQL foundation, this lesson will help you master advanced SQL techniques used in professional environments. #SQL #AdvancedSQL #MySQL #DataAnalysis #SQLTutorial #LearnSQL #DataAnalytics #CTE #Subquery #CASEStatement #StringFunctions #UnionAll #SQLForBeginners #AstonDataAcademy 00:00 Introduction to Advanced SQL 00:40 What You Will Learn in This Lesson 01:00 Understanding UNION vs UNION ALL 04:20 Real-World Use Cases for UNION 07:00 Rules for Using UNION and UNION ALL 10:05 SQL String Functions Overview 10:15 UPPER() Function 11:10 LOWER() Function 12:00 LENGTH() Function 14:00 CONCAT() Function 16:00 TRIM() Function 17:45 Introduction to CASE Statements 18:00 CASE Statement Syntax Explained 20:50 Grouping Ages with CASE Statements 24:15 Categorizing Salaries with CASE Statements 28:30 Practical Applications of CASE Statements 31:00 Introduction to Subqueries 32:00 How Subqueries Improve Query Performance 37:20 Example: Filtering by Average Salary 40:00 Example: Subquery with Department Filtering 44:00 Introduction to Common Table Expressions (CTEs) 45:00 CTE Syntax and Structure 47:00 Creating a CTE for Average Monthly Salary 50:00 Comparing Monthly Salary to Company Average 54:00 Why CTEs Improve SQL Efficiency 56:00 Summary and Final Thoughts