Course MySql SQL - Lab2Know

MySql

About Course

Learn MySQL from the fundamentals to advanced database concepts through practical, hands-on training. This course covers database design, SQL queries, data manipulation, joins, subqueries, functions, transactions, indexes, and database security, helping you build a strong foundation in relational database management.

Through real-world examples, practical exercises, and project-based learning, you will develop the skills to design databases, retrieve and analyze data, write efficient SQL queries, and work confidently with MySQL in modern web and software applications.

Duration: 30 Hours

Category: Data & AI

Skill Level: Beginner

Modules: 22

Subjects & Expertise

With extensive experience in MySQL and relational database technologies, I specialize in teaching database design, SQL programming, query optimization, and data management. My training focuses on building strong SQL fundamentals while equipping students with practical skills used in real-world web applications and enterprise systems.

Whether you’re a beginner starting your database journey or a professional looking to strengthen your SQL expertise, the course provides hands-on learning through real-time examples, practical exercises, and industry-oriented projects. Students gain the confidence to write efficient SQL queries, manage databases, and solve real-world business problems using MySQL.

Educational Background

Our MySQL training is designed by industry professionals with extensive experience in database development, application development, and software engineering. The curriculum combines database concepts with practical implementation to help students develop strong, job-ready SQL and database skills.

Every module includes hands-on labs, real-world scenarios, and practical assignments, enabling learners to confidently work with MySQL databases in software development, web applications, data analysis, and database management roles.

Modules

1: Introduction to MySQL

Introduction to MySQL
MySQL Architecture
RDBMS Concepts
Installation and Configuration
MySQL Workbench
Database Objects

2. Retrieving Data Using SELECT

SELECT Statement
DISTINCT
Aliases
LIMIT Clause
ORDER BY

3: Filtering and Sorting Data

WHERE Clause
Comparison Operators
AND, OR, NOT
BETWEEN
IN
LIKE

4: Built-in Functions

String Functions
Numeric Functions
Date Functions
NULL Functions

5: Data Conversion and Conditional Logic

CAST()
CONVERT()
IF()
CASE Statement

6: Aggregate Functions

COUNT()
SUM()
AVG()
MIN()
MAX()
GROUP BY
HAVING

7: Joins

INNER JOIN
LEFT JOIN
RIGHT JOIN
SELF JOIN
CROSS JOIN

8: Subqueries

Single Row Subqueries
Multiple Row Subqueries
Correlated Subqueries
EXISTS and NOT EXISTS

9: Set Operations

UNION
UNION ALL

10: DML Commands

INSERT
UPDATE
DELETE
REPLACE
Transactions

11: Database Objects

Tables
Constraints
Views
Indexes

12: Views and Indexes

Simple Views
Complex Views
Index Management

13: Stored Procedures

Creating Procedures
Parameters
Control Statements
Error Handling

14: Functions

User Defined Functions
Return Values
Business Logic

15: Triggers

BEFORE Trigger
AFTER Trigger
Audit Tracking

16: Window Functions

ROW_NUMBER()
RANK()
DENSE_RANK()
LEAD()
LAG()

17: Temporary Data Handling

Temporary Tables
Common Table Expressions (CTE)

18: Dynamic SQL

Prepared Statements
Dynamic Queries

19: Advanced Queries

PIVOT Concepts
Recursive Queries
Derived Tables

20: Performance Tuning

EXPLAIN Plan
Query Optimization
Index Tuning

21: Security and User Management

Users
Roles
Privileges
Grant and Revoke

22: Interview and Real-Time Scenarios

Interview Questions
Production Support Scenarios
Best Practices

Training Outcome

Write complex SQL queries
Work with multiple tables using joins
Perform advanced data analysis using SQL
Create and manage database objects
Handle transactions effectively
Understand database security concepts
Work with real-time business datasets
Prepare for Oracle SQL Developer / Data Analyst / SQL Developer interviews