MySQL Database Course | Learn Database Management & SQL QueriesMySQL Database Course | Learn Database Management & SQL Queries

Master MySQL database, SQL queries, table relationships and data management with hands-on training

The Backbone of Data

MySQL Database Masterclass

Learn to Store, Retrieve, and Manage data efficiently. Master SQL Queries, Relational Design, and Database Security used by Facebook, Uber, and Netflix.

Duration

1 Month

Mode

Online/Offline

Cert

ISO Certified

Why Do You Need SQL?

Why can't we just use Excel or Text files for data?

The Data Problem

Managing data in simple files creates chaos as you grow:

  • Limits: Excel crashes with large data.
  • Insecure: Anyone with the file can steal data.
  • Redundancy: Same data is repeated in multiple places.
  • Slow: Searching for one record takes forever.

The MySQL Solution

MySQL is a Relational Database Management System (RDBMS):

  • Scalable: Handles millions of records instantly.
  • Secure: User-based permissions & encrypted passwords.
  • Relational: Links data (Customers ↔ Orders) efficiently.
  • Standard: Uses SQL, the universal language of data.
RDBMS
SQL Queries
Tables
Relations
Filtering
Security

Globally Accepted Curriculum

Complete step-by-step SQL syllabus.

1. Intro & Select Basics

  • Intro: What is RDBMS? Tables, Rows, Columns.
  • Syntax: SQL Keywords, Semicolons.
  • SELECT: Selecting data from tables.
  • DISTINCT: Selecting only unique values.
  • WHERE: Filtering records.
  • Logic: AND, OR, NOT operators.

2. CRUD Operations

  • INSERT INTO: Adding new records.
  • NULL Values: Handling empty fields (IS NULL).
  • UPDATE: Modifying existing records.
  • DELETE: Removing records safely.
  • LIMIT: Restricting number of results.
  • Backups: Exporting/Importing SQL files.

3. Filtering & Sorting

  • ORDER BY: Sorting (ASC, DESC).
  • MIN/MAX: Finding smallest/largest values.
  • COUNT/AVG/SUM: Mathematical functions.
  • LIKE: Pattern matching with wildcards (%).
  • IN/BETWEEN: Specifying multiple values/ranges.
  • Aliases: Renaming columns (AS).

4. Database Structure Design

  • CREATE DB: Creating a new database.
  • CREATE TABLE: Defining columns and types.
  • Data Types: VARCHAR, INT, DATE, TEXT.
  • DROP: Deleting tables and databases.
  • ALTER: Adding/Deleting columns in existing tables.
  • Constraints: NOT NULL, UNIQUE, PRIMARY KEY.

5. Joins & Relations Adv

  • JOIN Intro: Why we need multiple tables.
  • INNER JOIN: Matching records in both tables.
  • LEFT JOIN: All from left, match from right.
  • RIGHT JOIN: All from right, match from left.
  • CROSS JOIN: Cartesian product.
  • Foreign Key: Linking two tables together.

6. Advanced SQL

  • GROUP BY: Grouping results by column.
  • HAVING: Filtering groups.
  • EXISTS: Testing for existence of records.
  • ANY / ALL: Comparison operators.
  • INSERT SELECT: Copying data between tables.
  • Views: Creating virtual tables.

6 SQL Projects

Design and Query real-world database schemas.

Student Record System

Create tables for Students, Marks, and Subjects.

Employee Management

Query salaries, departments, and join dates.

Inventory System

Track stock levels, orders, and suppliers.

Library Management

Use Joins to link Books, Authors, and Members.

Login System DB

Design a secure Users table with Passwords.

E-Commerce Catalog

Categorize products using Foreign Keys.

Why Choose IICTC?

We teach Database Design Thinking. We don't just teach you how to write queries; we teach you how to structure data efficiently using Normalization, Primary Keys, and Foreign Keys to avoid data redundancy.

Career Opportunities

Database experts are needed in every IT sector.

  • Database Administrator (DBA)
  • Backend Developer
  • Data Analyst
  • SQL Developer
  • Business Intelligence Analyst

Manage Data

Enroll in MySQL Course.

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