MySQL Mastery: From Database Basics to Advanced Queries

Full-Stack Web Development

MySQL Mastery: From Database Basics to Advanced Queries

Instructor: Amit Chandrakar

Created: 16 June, 2025

Updated: 16 June, 2025

Overview
Curriculum
Instructor

Course Description

This hands-on MySQL course equips you with the essential skills to design, manage, and optimize relational databases. Whether you're a complete beginner or a developer looking to strengthen your backend foundation, this course guides you from the very basics of what a database is, DBMS, and RDBMS, to advanced querying and performance tuning, making you proficient in handling data for dynamic web applications.

You’ll start with fundamental concepts like tables, columns, data types, and real-world database examples. We then move into practical SQL Data Definition Language (DDL) for schema creation, followed by an exhaustive exploration of SQL Data Manipulation Language (DML). You will master everything from basic `SELECT`, `INSERT`, `UPDATE`, `DELETE` operations to advanced filtering (`WHERE`), sorting (`ORDER BY`), aggregate functions (`COUNT`, `SUM`), pattern matching (`LIKE`), and handling `NULL` values.

The curriculum then focuses on joining multiple tables using `INNER`, `LEFT`, `RIGHT`, `CROSS`, and `SELF JOINs`, understanding how to combine data from different sources. You'll also learn complex SQL features like `UNION`, `GROUP BY` with `HAVING`, `EXISTS`, `ANY`, `ALL`, and `CASE` statements.

Advanced topics include normalization for robust schema design, creating views, writing stored procedures and stored functions, implementing triggers, and scheduling events. A significant portion is dedicated to Query Optimization, including Indexes, `EXPLAIN` analysis, Slow Query Logs, and Optimizer Hints. You'll also gain deep insights into Transactions with ACID principles and Database Locking mechanisms. Finally, we'll cover advanced User Management, essential security practices, and an introduction to Database Replication for high availability, preparing you for enterprise-level challenges.

What You'll Learn:

Fundamental database concepts: DBMS, RDBMS, tables, columns, rows, and data types with real-world examples.
Installing and setting up MySQL.
Designing robust database schemas, choosing data types, and creating/modifying tables using DDL.
Mastering extensive SQL DML operations: SELECT, INSERT, UPDATE, DELETE, WHERE, AND, OR, NOT, ORDER BY, LIMIT, MIN, MAX, COUNT, AVG, SUM, LIKE, Wildcards, IN, BETWEEN, Aliases, UNION, GROUP BY, HAVING, EXISTS, ANY, ALL, INSERT SELECT, CASE, Null Functions, Comments, Operators.
Performing complex queries by joining multiple tables: INNER JOIN, LEFT JOIN, RIGHT JOIN, CROSS JOIN, Self Join.
Implementing advanced database objects: Stored Procedures, Stored Functions, Triggers, Views, and Events.
Comprehensive Query Optimization: Understanding Indexes, using EXPLAIN, analyzing Slow Query Logs, and applying Optimizer Hints.
Ensuring data integrity with Transactions and ACID properties, and understanding Database Locks (Table, Row, Metadata).
Managing User Roles, Permissions, and advanced MySQL Security.
Strategies for database backup, restore, and maintenance.
Introduction to Database Replication (Master-Slave, GTID, Group Replication) for scalability and high availability.

Who Is This Course For?

This course is ideal for aspiring web developers (front-end or full-stack), backend engineers, data analysts, and anyone who wants to understand how to design, manage, and interact with relational databases effectively using MySQL. If you're building dynamic web applications or working with data, this course is a perfect fit.

Prerequisites:

Basic Computer Literacy: Familiarity with using a computer and navigating file systems.
A Computer/Laptop: You'll need a working computer (Windows, macOS, or Linux) to install MySQL and practice.
A Willingness to Learn: Your enthusiasm to master database concepts is the most important prerequisite!

Includes a real-world capstone project to apply all learned skills and a certificate of completion. Available in English and Hindi.

1. What is a Database? Role and Purpose

15min

2. DBMS vs. RDBMS: Understanding the Differences

20min

3. Introduction to MySQL: Features and Popularity

15min

4. Key Database Concepts: Table, Column (Field), Row (Record), Primary Key (Conceptual)

25min

5. Understanding Data Types (Conceptual overview)

15min

6. Real-time Database Examples and Their Usage (e.g., E-commerce, Social Media)

20min

7. Installing MySQL Server and MySQL Workbench/CLI

30min

8. Creating Your First Database and Selecting It

15min

9. Recap & Practical Task: Set Up Your MySQL Environment and Document a Real-World DB Example

40min

10. Designing Tables: Naming Conventions and Column Planning

25min

11. Choosing the Right Data Types (Practical application)

30min

12. Creating Tables with `CREATE TABLE` (Basic Syntax)

25min

13. Column Constraints: `NOT NULL`, `UNIQUE`, `DEFAULT`, `AUTO_INCREMENT`

30min

14. Primary Keys and Auto-Incrementing IDs (Detailed)

25min

15. Foreign Keys for Establishing Relationships (`REFERENCES`)

35min

16. Modifying Tables: `ALTER TABLE` (ADD/DROP/MODIFY COLUMN)

30min

17. Renaming and Truncating Tables

15min

18. Dropping Tables and Databases: `DROP TABLE`, `DROP DATABASE`

20min

19. Recap & Practical Task: Design and Implement a Small Database Schema

1hr

20. Understanding SQL: The Language of Databases

15min

21. `INSERT INTO`: Adding New Rows to a Table

25min

22. `SELECT`: Retrieving Data from Tables (Basic `SELECT *`, `SELECT column_name`)

25min

23. `WHERE` Clause: Filtering Data with Conditions

25min

24. Logical Operators: `AND`, `OR`, `NOT` in `WHERE` Clause

20min

25. `ORDER BY`: Sorting Query Results (ASC, DESC)

20min

26. `UPDATE`: Modifying Existing Data in a Table

25min

27. `DELETE FROM`: Removing Rows from a Table

20min

28. Handling `NULL` Values: `IS NULL`, `IS NOT NULL`

15min

29. `LIMIT`: Restricting the Number of Rows Returned (for Pagination)

20min

30. Aggregate Functions: `MIN()` and `MAX()`

15min

31. Aggregate Functions: `COUNT()`, `AVG()`, `SUM()`

20min

32. `LIKE` Operator and SQL Wildcards (`%`, `_`) for Pattern Matching

25min

33. `IN` Operator: Matching Values in a List

15min

34. `BETWEEN` Operator: Filtering within a Range

15min

35. `AS`: Using Aliases for Columns and Tables

15min

36. `GROUP BY`: Grouping Rows for Aggregate Functions

25min

37. `HAVING` Clause: Filtering Groups

20min

38. `EXISTS` Operator

15min

39. `ANY` and `ALL` Operators

20min

40. `INSERT INTO SELECT`: Copying Data Between Tables

20min

41. `CASE` Statement: Conditional Logic in Queries

25min

42. MySQL Null Functions (`IFNULL`, `COALESCE`, `NULLIF`)

20min

43. SQL Comments

8min

44. SQL Operators (Review and Advanced Usage)

15min

45. Recap & Practical Task: Master Single-Table Queries and Filtering

1hr 30min

46. Understanding Relational Concepts: Primary & Foreign Keys (Reinforced)

20min

47. Why Use JOINs? Combining Data from Multiple Tables

20min

48. `INNER JOIN`: Retrieving Matching Rows

30min

49. `LEFT JOIN`: Including All Rows from the Left Table

25min

50. `RIGHT JOIN`: Including All Rows from the Right Table

25min

51. `FULL OUTER JOIN` (Simulated in MySQL) and `CROSS JOIN`

25min

52. `SELF JOIN`: Joining a Table to Itself

20min

53. Recap & Practical Task: Perform Complex Multi-Table Queries using Various JOINs

1hr

54. Creating and Using Views for Simplified Queries

25min

55. Stored Procedures: Writing Reusable SQL Code Blocks

35min

56. Stored Functions: Custom Functions for SQL Queries

30min

57. Implementing Triggers for Automated Database Actions

30min

58. Scheduling Database Tasks with Events

25min

59. Recap & Practical Task: Create Views, Stored Procedures, Functions, Triggers, and Events for a Business Scenario

1hr 30min

60. Understanding Normal Forms (1NF, 2NF, 3NF): Principles of Good Design

30min

61. Denormalization: When and Why to Deviate from Normal Forms

20min

62. Creating Entity-Relationship (ER) Diagrams: Visualizing Relationships

30min

63. Database Schema Best Practices for Scalability and Maintainability

25min

64. Recap & Practical Task: Design a Normalized Database Schema for a New Project

1hr

65. Introduction to Indexes: How They Work and Improve Performance

30min

66. Creating and Managing Different Types of Indexes (B-Tree, Hash)

35min

67. Using the `EXPLAIN` Statement for Query Analysis and Optimization

40min

68. Analyzing the Slow Query Log

25min

69. Applying Optimizer Hints for Specific Query Behavior

25min

70. Common Query Pitfalls and How to Avoid Them

25min

71. Best Practices for Writing Efficient and Optimized Queries

30min

72. Recap & Practical Task: Optimize a Slow Query in a Sample Database

1hr 15min

73. Introduction to Transactions: Ensuring Atomicity and Reliability

20min

74. `START TRANSACTION`, `COMMIT`, and `ROLLBACK` Commands

25min

75. Understanding ACID Properties (Atomicity, Consistency, Isolation, Durability)

25min

76. Transaction Isolation Levels (Conceptual Overview)

15min

77. Introduction to Database Locks: Why They Are Needed

20min

78. Table-Level Locks (Conceptual)

15min

79. Row-Level Locks (Conceptual)

15min

80. Metadata Locks (Conceptual)

10min

81. Recap & Practical Task: Implement Transactions and Observe Locking Behavior

50min

82. Managing User Accounts and Permissions (`CREATE USER`, `GRANT`, `REVOKE`)

30min

83. Securing Your MySQL Server (Root Password, Remote Access, etc.)

25min

84. Database Backup and Restore Strategies (`mysqldump`, MySQL Workbench)

30min

85. Basic Database Maintenance (Optimization, Repair, Check)

20min

86. Recap & Practical Task: Create a New User and Perform a Database Backup

45min

87. Introduction to Database Replication: Why Replicate?

25min

88. Master-Slave Replication: Concepts and Basic Setup (Conceptual)

35min

89. Global Transaction Identifiers (GTID) Replication (Overview)

25min

90. MySQL Group Replication (Overview)

25min

91. High Availability (HA) Concepts and Solutions (Conceptual)

20min

92. Recap & Practical Task: Design a Simple Replication Topology

40min

93. Project Overview: Designing a Database Schema for a Web Application

1hr

94. Implementing Database Schema with SQL DDL Commands

1hr 30min

95. Populating Data and Performing Complex Queries (CRUD, JOINs, Functions)

2hr

96. Implementing Stored Procedures, Views, and Triggers for Specific Tasks

1hr

97. Final Review, Optimization Tips, and Course Conclusion

45min

98. Recap & Project Submission

30min

Instructor

Amit Chandrakar

Senior Full Stack Developer & Instructor

10 Courses

View Details

Courses Includes:

Price : ₹4000
Instructor : Jane Smith
Durations : 4 Weeks
Modules : 11
Language : English, Hindi
Level : Beginner, Expert
Certifications : Yes
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Course Details