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Advanced SQL Queries

Master SQL: Joins, Subqueries & Aggregations

Master Advanced SQL: Joins, Subqueries & Aggregations

Unlock the full power of relational databases. Learn to combine data from multiple tables, write complex nested queries, and generate powerful reports with aggregate functions.

Multi-Table Joins
Complex Subqueries
Advanced Aggregations
-- Complete JOIN, Subquery & Aggregate Example
SELECT 
    d.department_name,
    COUNT(e.employee_id) AS total_employees,
    AVG(e.salary) AS avg_salary,
    (SELECT MAX(salary) FROM employees WHERE department_id = d.department_id) AS max_dept_salary
FROM departments d
LEFT JOIN employees e ON d.department_id = e.department_id
WHERE d.department_id IN (
    SELECT department_id 
    FROM employees 
    GROUP BY department_id 
    HAVING COUNT(*) > 5
)
GROUP BY d.department_id, d.department_name
HAVING AVG(e.salary) > 50000
ORDER BY avg_salary DESC;

Module: JOINS (Inner, Left, Right, Full)

Master the art of combining data from multiple relational tables

1

JOINS Fundamentals

  • Introduction to Relational Tables
  • Understanding Primary & Foreign Keys
  • What is a JOIN and why it is needed
  • INNER JOIN – Concept & examples
  • LEFT JOIN – When to use & examples
2

Advanced JOIN Types

  • RIGHT JOIN – Use cases & examples
  • FULL OUTER JOIN – Explanation & scenarios
  • CROSS JOIN basics
  • Self JOIN concepts
  • JOIN performance considerations
3

Practical Applications

  • Real-world JOIN examples
  • Reports & Dashboard queries
  • Multiple table joins
  • JOIN with WHERE conditions
  • Common JOIN pitfalls & solutions

SQL Data Relationships

Understand the core concepts that make relational databases powerful

🔗

Relational Integrity

Maintain data consistency through proper key relationships and constraints

🔄

Set Operations

Think in sets: unions, intersections, and differences for powerful data manipulation

Query Optimization

Write efficient queries that leverage database indexes and execution plans

Module: Subqueries & Nested Queries

Write powerful nested queries for complex data retrieval scenarios

4

Subquery Fundamentals

  • What are subqueries?
  • Types of subqueries (Single-row, Multi-row)
  • Subqueries in SELECT clause
  • Subqueries in FROM clause
  • Subqueries in WHERE clause
5

Advanced Subqueries

  • Correlated subqueries explained
  • EXISTS vs IN operators
  • ANY, ALL operators with subqueries
  • Subqueries vs JOINs comparison
  • Performance considerations
6

Practical Implementation

  • Real-world nested query scenarios
  • Subqueries in UPDATE/DELETE
  • Nested subqueries (multiple levels)
  • Common subquery mistakes
  • Optimization techniques

Module: Aggregate Functions & GROUP BY

Transform raw data into meaningful insights with aggregation

Aggregate Functions

  • Introduction to aggregate functions
  • COUNT(), SUM(), AVG() functions
  • MIN(), MAX() functions
  • GROUP BY basics
  • HAVING clause vs WHERE clause

Advanced Aggregation

  • Grouping by multiple columns
  • Using aggregates with joins
  • ROLLUP and CUBE operations
  • Window functions overview
  • Aggregate performance tips

Practical Reporting

  • Practical reporting queries
  • Hands-on examples
  • Sales reports & analytics
  • Financial aggregations
  • Dashboard query design

Real-World SQL Projects

Apply your advanced SQL skills to practical business scenarios

E-Commerce Analytics Dashboard

Build comprehensive business intelligence queries:

  • Customer purchase patterns with JOINs
  • Revenue by category using GROUP BY
  • Customer lifetime value calculations
  • Inventory turnover rates
  • Top-performing products subqueries

Enterprise HR Reporting System

Create advanced employee and department reports:

  • Department hierarchy with Self JOINs
  • Salary analytics with aggregates
  • Employee performance correlations
  • Turnover analysis using subqueries
  • Budget vs actual spending reports

SQL Database Systems

These concepts apply across all major relational database platforms

MySQL

World’s most popular open-source RDBMS

PostgreSQL

Advanced open-source database system

SQL Server

Microsoft’s enterprise database solution

Oracle

Industry-leading enterprise database

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