MySQL Free Course - Basic to Expert Level with Practice Files

In today’s data-driven world, mastering database management systems like MySQL can significantly enhance your career prospects and open the door to a wide array of job opportunities. Whether you’re a developer, data analyst, or IT professional, learning MySQL is essential for managing and manipulating vast amounts of data efficiently. This blog will cover why learning MySQL is vital, introduce a comprehensive MySQL Free Tutorial that covers everything from the basics to advanced concepts, and explain how this course can help you find a job or freelancing opportunities. Furthermore, we will explore why downloading this tutorial is a smart investment in your professional development.

List of Videos & Topics Covered:

Course Overview & Fundamentals

Course Overview: What You’ll Learn
Why Learn SQL? The Power of Structured Query Language
Why Choose MySQL? Strengths and Use Cases
Introduction to Databases: What You Need to Know

SQL Language Structure

Transaction Control Language (TCL): Managing Transactions
Data Control Language (DCL): Controlling Database Access
Data Manipulation Language (DML): Modifying Data
SQL Keywords Explained
Data Definition Language (DDL): Structuring Your Database
SQL as a Declarative Language: Understanding Its Logic

Database Concepts & Design

Relational Databases: Core Concepts and Essentials
Databases vs. Spreadsheets: Key Differences
Essential Database Terminology
Relational Schemas: Understanding Primary Keys
Relational Schemas: Foreign Keys and Their Importance
Relational Schemas: Unique Keys and NULL Values
Database Relationships: How Tables Connect

Getting Started with MySQL

Installing MySQL: Step-by-Step Guide
Setting Up a Connection to MySQL
New MySQL Authentication Plugin: Creating Users
Navigating the MySQL Interface

Creating and Managing Databases & Tables

Introduction to SQL Data Types
Other Useful Data Types in MySQL
Fixed and Floating-Point Data Types Explained
Working with Databases and Tables in MySQL
Understanding Integer Data Types
Creating a Database – Part I: Basics
Creating a Database – Part II: Additional Concepts
Additional Notes on Using Tables
String Data Types in SQL

SQL Constraints & Best Practices

The UNIQUE Constraint: Ensuring Unique Data
The NOT NULL Constraint – Part I: Preventing NULL Values
The PRIMARY KEY Constraint Explained
The NOT NULL Constraint – Part II: More Use Cases
The DEFAULT Constraint: Setting Default Values
The FOREIGN KEY Constraint – Part I: Enforcing Relationships
The FOREIGN KEY Constraint – Part II: Advanced Use Cases
Coding Techniques & Best Practices – Part I
Coding Techniques & Best Practices – Part II

Working with the employees Database

Loading the employees Database into MySQL

SQL Query Fundamentals

Understanding BETWEEN and AND Operators
The SELECT Statement: Retrieving Data
Using IN and NOT IN for Data Filtering
Operator Precedence in SQL Queries
The WHERE Clause: Filtering Records
Using OR for Multiple Conditions
Using AND for Precise Filtering
Wildcard Characters: Flexible Searching
The LIMIT Clause: Controlling Query Results
WHERE vs. HAVING – Part I: Key Differences
WHERE vs. HAVING – Part II: Practical Examples
Using Aliases (AS) for Readable Queries

Sorting & Grouping Data

GROUP BY: Organizing Query Results
ORDER BY: Sorting Data in SQL
Understanding Operator Precedence in SQL

Aggregate Functions & Data Analysis

Introduction to Aggregate Functions in MySQL
Using SELECT DISTINCT to Avoid Duplicates
Comparison Operators: A Deeper Look
IS NULL vs. IS NOT NULL: Handling Missing Data
The HAVING Clause: Filtering Grouped Data
LIKE and NOT LIKE: Pattern Matching in SQL

Inserting & Updating Data

Inserting Data into a New Table
The INSERT Statement – Part I: Basics
The INSERT Statement – Part II: Advanced Techniques
The UPDATE Statement – Part I: Modifying Records
The UPDATE Statement – Part II: More Use Cases
TCL: COMMIT and ROLLBACK Explained

Deleting Data & Database Maintenance

DROP vs. TRUNCATE vs. DELETE: When to Use Each
The DELETE Statement – Part I: Removing Records
The DELETE Statement – Part II: Advanced Deletion

Advanced SQL Functions

MIN() and MAX(): Finding Extremes in Data
Using COALESCE() for Handling NULL Values
IFNULL() vs. COALESCE(): Key Differences
SUM(): Calculating Totals in SQL
ROUND(): Controlling Decimal Precision
AVG(): Finding the Average Value
COUNT(): Counting Records in SQL

SQL Joins & Data Relationships

Introduction to SQL JOINs: Combining Tables
INNER JOIN – Part I: Basics
INNER JOIN – Part II: More Use Cases
LEFT JOIN – Part I: Understanding Left Joins
LEFT JOIN – Part II: More Examples
RIGHT JOIN: Joining Tables from the Right Side
CROSS JOIN: Combining All Rows
JOIN More Than Two Tables in SQL
Using Aggregate Functions with Joins
JOIN and WHERE Used Together: Practical Use Cases
The Old vs. New SQL Join Syntax
Tips and Tricks for Optimizing Joins

SQL Subqueries

SQL Subqueries with IN Nested in WHERE
SQL Subqueries with EXISTS & NOT EXISTS
SQL Subqueries in SELECT and FROM Clauses

Advanced SQL & Stored Procedures

Self Join: Relating a Table to Itself
SQL Views: Simplifying Complex Queries
Introduction to Stored Routines in MySQL
Stored Procedures – Example – Part I
Stored Procedures – Example – Part II
Stored Procedures with Input Parameters
Stored Procedures with Output Parameters
User-Defined Functions in MySQL
The CASE Statement: Conditional Logic in SQL

MySQL Variables & Indexes

User-Defined vs. System Variables
Types of MySQL Variables: Local, Session, and Global
MySQL Indexes: Speeding Up Queries

Integrating SQL with Tableau

The Advantages of Software Integration
Installing Tableau Public for Data Visualization
Transferring a Dataset from SQL to Tableau
Visualizing and Analyzing Data in Tableau
Creating Dashboards in Tableau
Loading the employees_mod Database into MySQL
Why Combining SQL and Tableau is Useful

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