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.
-- 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
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
Advanced JOIN Types
- RIGHT JOIN – Use cases & examples
- FULL OUTER JOIN – Explanation & scenarios
- CROSS JOIN basics
- Self JOIN concepts
- JOIN performance considerations
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
Subquery Fundamentals
- What are subqueries?
- Types of subqueries (Single-row, Multi-row)
- Subqueries in SELECT clause
- Subqueries in FROM clause
- Subqueries in WHERE clause
Advanced Subqueries
- Correlated subqueries explained
- EXISTS vs IN operators
- ANY, ALL operators with subqueries
- Subqueries vs JOINs comparison
- Performance considerations
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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