Mastering Mysql: From Basics To Advanced

Learn structured data management, performance tuning, and real-world applications

What you'll learn

Design and implement a normalized relational database schema from scratch using Primary and Foreign Keys

Write foundational SQL queries to create, read, update, and delete data (CRUD) with DDL and DML commands.

Master complex queries using multi-table JOINs to retrieve combined, meaningful data from a relational database.

Leverage subqueries and aggregate functions (GROUP BY, COUNT) for advanced data analysis and reporting.

Perform essential database administration tasks, including user management, permissions (GRANT/REVOKE), and backups.

Set up and secure a MySQL server on a real-world Linux cloud environment.

Understand and apply database normalization principles (1NF) to prevent data redundancy and ensure data integrity.

Recover a lost root password and perform database migrations using the mysqldump utility.

Requirements

No prior database or SQL knowledge is required. This course is designed for absolute beginners.

Description

In today's data-driven world, mastering databases isn't just a skill—it's a necessity for any tech professional. But where do you start? The world of databases can seem complex, with concepts like normalization, keys, and joins feeling intimidating.This course is your complete, step-by-step guide to mastering MySQL and the principles of Relational Database Management Systems (RDBMS) from scratch. Designed with a 100% practical, hands-on approach, this course requires absolutely no prior experience. We start with the absolute basics: understanding why we need databases and how to set up your own professional development environment on both Windows and a real-world Linux cloud server.Then, you'll dive deep into the art of database design—the most critical skill for building scalable and reliable applications. You will learn how to identify design flaws, apply normalization principles to eliminate data redundancy, and build a clean, efficient schema using primary and foreign keys.Once your foundation is solid, you'll write your first SQL queries and progress to advanced topics. The course then accelerates into complex queries, teaching you how to use multi-table JOINs, subqueries, and data aggregation to extract powerful business insights.Finally, you'll step into the shoes of a Database Administrator (DBA), learning to manage users, set permissions, perform critical backups and restores with mysqldump, and even recover a lost root password.By the end of this course, you won't just know SQL commands; you'll understand how to think like a database professional, capable of designing, managing, and querying robust database systems for any application.

Overview

Section 1: Introduction

Lecture 1 Introduction to the DBMS Course and Instructor

Lecture 2 Course Agenda, Prerequisites, and the Importance of a Strong RDBMS Foundation

Lecture 3 Fundamentals of Data Storage and the Need for Structure

Lecture 4 From Manual Files to a Standardized DBMS and SQL

Lecture 5 Practical Guide to Installing MySQL Server and Workbench

Lecture 6 Writing Your First SQL Queries: DDL and DML Basics

Lecture 7 Database Planning, Schema Design, and SQL Language Categories

Lecture 8 Designing a Database and a First Look at Normalization

Lecture 9 Exposing Design Flaws with SQL Queries and Analysis

Lecture 10 Introduction to Normalization and Ensuring Record Uniqueness

Lecture 11 Relational Design: Decomposing Tables with Primary and Foreign Keys

Lecture 12 Designing a Three-Table Relational Schema (RDBMS)

Lecture 13 Defining and Understanding the First Normal Form (1NF)

Lecture 14 Practical Implementation of a Normalized RDBMS Schema in SQL

Lecture 15 Setting Up MySQL on a Linux Cloud Server

Lecture 16 Initial MySQL Security and Remote Configuration

Lecture 17 User Management and Permissions

Lecture 18 Designing and Populating the Database Schema for Joins

Lecture 19 Basic Data Retrieval, Filtering, and Ordering

Lecture 20 Mastering the INNER JOIN

Lecture 21 Modifying Tables and Data (ALTER, UPDATE, DELETE)

Lecture 22 Conceptual Overview of Different Join Types

Lecture 23 Multi-Table Joins and Introduction to Subqueries

Lecture 24 Data Aggregation and Advanced Querying

Lecture 25 Database Administration: Backups, Restores, and Password Recovery

Aspiring software developers, backend engineers, and full-stack developers who need to understand how to design and interact with databases.,Data analysts and business intelligence professionals looking to build a strong SQL foundation for data extraction and reporting.,IT students and professionals who are transitioning into a data-centric or development role.,DevOps engineers and system administrators who need to manage and secure database servers.,Anyone who wants to learn the fundamentals of relational databases and SQL from the ground up to build robust, scalable applications.