Course Overview

• Learn SQL from beginner to advanced level
• Includes tables, queries, joins, views, triggers, stored procedures, analytics functions, optimization, security, and real-world projects
• Each lesson is bite-sized, practical, and beginner-friendly
• Designed for self-paced learning and hands-on practice

Module 1: SQL Basics

1. Introduction to SQL – What is SQL and why it’s important
2. Creating Databases – How to create and manage databases
3. Creating Tables – Table structure, primary keys, and constraints
4. Inserting Data – INSERT INTO and bulk inserts
5. Reading Data – SELECT queries and filtering data
6. Updating Data – UPDATE statements and conditions
7. Deleting Data – DELETE and TRUNCATE operations
8. Data Types in SQL – VARCHAR, INT, DECIMAL, DATE, and more
9. Constraints in SQL – PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL
10. SQL Functions Basics – COUNT, SUM, AVG, MIN, MAX

Module 2: SQL Queries and Filters

11. WHERE Clause and Logical Operators – AND, OR, NOT
12. ORDER BY and LIMIT – Sorting and restricting results
13. GROUP BY and HAVING – Aggregate functions and grouping
14. DISTINCT and Aliases – Remove duplicates and rename columns
15. String Functions – CONCAT, LENGTH, SUBSTRING, UPPER, LOWER
16. Date Functions – NOW(), CURDATE(), DATE_FORMAT()
17. CASE Statements – Conditional logic in queries
18. IN, BETWEEN, LIKE, IS NULL – Advanced filtering
19. Subqueries – Nested SELECT queries
20. Joins Introduction – INNER JOIN, LEFT JOIN, RIGHT JOIN

Module 3: Advanced Joins and Queries

21. Full Outer Join and Self Join – Combining tables completely
22. Cross Join – All possible combinations
23. Recursive Joins (CTE) – Hierarchical data
24. Union, Union All, Intersect, Except – Combining query results
25. Views – Virtual tables for reuse
26. Materialized Views – Stored queries for large datasets
27. Stored Procedures – Reusable SQL logic
28. Stored Procedures with Parameters – Input and output parameters
29. Triggers – Automatic actions on table events
30. Trigger Types – BEFORE, AFTER, INSERT, UPDATE, DELETE

Module 4: Transactions, Indexes, and Optimization

31. Transactions Overview – Atomic operations
32. COMMIT – Save changes
33. ROLLBACK – Undo changes
34. SAVEPOINT – Partial rollback
35. Indexes – Improve query performance
36. Unique and Composite Indexes – Special types of indexes
37. Query Optimization Tips – Avoid SELECT *, use LIMIT, proper joins
38. Using Indexes Efficiently – Index strategies for large tables
39. Analytics Functions Introduction – RANK(), DENSE_RANK()
40. Advanced Analytics Functions – CUME_DIST(), PERCENT_RANK(), NTILE()

Module 5: SQL Security and Best Practices

41. SQL Security Overview – Users, privileges, and roles
42. Creating Users and Granting Privileges – Control access
43. Using Roles for Privilege Management – Group privileges
44. Revoking Privileges – Remove access safely
45. SQL Best Practices Introduction – Clean, readable code
46. Naming Conventions – Tables, columns, indexes
47. Query Formatting and Indentation – Readability
48. Comments and Documentation – Maintainable SQL
49. Avoiding Anti-Patterns – SELECT *, hard-coded values
50. Backup and Restore – mysqldump, CSV import/export

Module 6: Real-World SQL Projects

51. Building a Customer Orders Analysis System – Tables, data insertion
52. Views for High-Value Customers – Simplify reporting
53. Analytics for Customer Ranking – NTILE() and quartiles
54. Triggers in Action – Automatic updates
55. Stored Procedures for Reporting – Customer order reports
56. Combining Joins and Analytics – Advanced queries
57. Recursive Queries for Hierarchies – Employee or referral trees
58. Cross Joins and Self Joins in Projects – Data combination
59. Final Project – Full SQL Example – Complete end-to-end workflow

Course Features

• Each lesson includes:
  • Step-by-step explanation
  • Code examples
  • Practice exercises
• Hands-on approach ensures strong foundation for SQL
• Suitable for beginners, analysts, and aspiring data engineers