MySQL Database Training

“Master the Language of Data.”

Enroll Now

Course Overview:

Learn how to manage and manipulate data efficiently with our MySQL Database Training Course. This program is designed for students and aspiring developers who want to master the fundamentals of databases — from data storage and retrieval to writing optimized SQL queries. Whether you’re new to databases or looking to strengthen your backend knowledge, this course helps you develop the practical skills needed to work confidently with MySQL in any application environment.

Course Length:  35 Hours

Course Description:

Learn how to create, manage, and query databases with ease. This course helps you build a strong foundation in SQL, data modeling, and database design using MySQL. Perfect for students and aspiring developers who want to strengthen their backend development skills and boost their IT career opportunities.

Who Should Attend:

This course is ideal for:

  • Students pursuing B.Tech, B.Sc, or MCA in Computer Science

  • Fresh graduates preparing for technical interviews

  • Beginners looking to understand how applications interact with databases

  • Developers who want to sharpen their SQL and data-handling skills

Benefits of Attendance:

Upon completion of this course, students will be able to:

    • Understanding Database Concepts and Relational Models

    • Installing and Setting Up MySQL

    • Creating, Modifying, and Managing Databases and Tables

    • Writing Efficient SQL Queries (SELECT, INSERT, UPDATE, DELETE)

    • Using Constraints, Joins, Subqueries, and Views

    • Indexing and Query Optimization Techniques

    • Understanding Transactions and Data Integrity

    • Basics of MySQL with Python and Java Integration

Prerequisites:

Before enrolling in this course, students should have:

  • Basic understanding of computers and operating systems

  • Familiarity with any programming language (Python or Java preferred)

  • Logical thinking and interest in working with data

  • No prior database experience required — we start from the fundamentals!

Career Outcomes:

After completing the MySQL Database Training, you’ll be equipped to:

  • Work confidently as a Database Developer or SQL Programmer

  • Manage and query databases efficiently in real-world projects

  • Support backend development and data-driven applications

  • Prepare for roles like Data Analyst, Software Developer, or Support Engineer

  • Build a strong foundation for advanced learning in Data Science, Machine Learning, or Full Stack Development

Job Roles:

By mastering MySQL, you’ll open doors to multiple career paths in software and data management. Graduates of this course can pursue roles such as:

  • Database Developer

  • SQL Programmer

  • Data Analyst

  • Backend Developer

  • Software Engineer (Database Focused)

  • Application Support Engineer

  • ETL Developer (Entry-Level)

  • Database Administrator (Junior Level)

  • Full Stack Developer (with Database Skills)

MySQL is one of the most in-demand database technologies used by startups and enterprises alike — from web apps to analytics platforms. Building strong MySQL skills ensures a stable and rewarding IT career.

Course Outline:

Introduction
  • What is SQL?
  • The History of SQL
  • Standardization of SQL
  • What is open source software?
  • The History of MySQL
  • Tennis Club Sample database
  • Description of Tennis Club
  • The Contents of Tables
  • Integrity Constraints
  • Introduction
  • Downloading MySQL
  • Installation of MySQL
  • Installing a Query Tool
  • Downloading SQL statements from website
  • Logging on to MySQL Database Server
  • Creating New SQL Users
  • Creating Databases
  • Selecting Current Database
  • Creating Tables
  • Populating Tables with Data
  • Querying Tables
  • Updating table rows
  • Deleting Rows
  • Optimizing Query processing with indexes
  • Views
  • Users and Data security
  • Deleting Database Objects
  • System Variables
  • Grouping of SQL statements
  • The Catalog tables
  • Literals and their data types
  • Expressions
  • Assigning names to result Columns
  • The Column Specification
  • The user variable and SET statement
  • The System Variable
  • The Case Expression
  • The Scalar Expression
  • The Scalar Functions
  • Casting of Expressions
  • The NULL value as an Expression
  • The Compound Scalar Expression
  • The Aggregation Function and Scalar Subquery
  • The Row Expression
  • The Table Expression
  • Processing the Clauses in SELECT block
  • Possible forms Table Expression
  • Table Specifications in FROM clause
  • Column specification
  • Multiple Table Specifications in the FROM Clause
  • Pseudonyms for Table names
  • Mandatory use of Pseudonyms
  • Tables of different databases
  • Explicit joins in the FROM clause
  • Outer Joins
  • Natural Joins
  • Additional Condition in Join Conditions
  • Cross Join
  • Replacing join conditions with USING clause
  • The FROM clause with Table Expressions
  • Using comparison operators
  • Comparison operators with Subqueries
  • Comparison operators with Correlated Sub Queries
  • Conditions with out Comparison Operators
  • Conditions coupled with AND, OR, XOR and NOT
  • The IN Operator with expression list
  • The IN Operator with Subquery
  • The BETWEEN Operator
  • The LIKE operator
  • The REGEXP Operator
  • The MATCH Operator
  • The IS NULL Operator
  • The EXISTS Operator
  • The ALL and ANY Operator
  • Scope of Columns in Subqueries
  • More Examples on Correlated Subqueries
  • Selecting All(*) Columns
  • Expressions in the SELECT Clause
  • Removing Duplicate Rows with DISTINCT
  • More Select options
  • Introduction to Aggregation Functions
  • COUNT Function
  • MAX and MIN Functions
  • The SUM and AVG Functions
  • The VARIANCE AND STDDEV Functions
  • Grouping on One Column
  • Grouping on Two or More Columns
  • Grouping on Expressions
  • Grouping on NULL values
  • Grouping with Sorting
  • General Rules for GROUP BY Clause
  • The GROUP_CONCAT Function
  • Introduction
  • Examples of HAVING Clause
  • A HAVING Clause but not GROUP BY Clause
  • General Rules for the HAVING Clause
  • Introduction
  • Sorting on Column Names
  • Sorting on Expressions
  • Sorting on Sequence Numbers.
  • Sorting in Ascending and Descending Order
  • Sorting NULL values
  • Introduction
  • Get the Top
  • Sub Queries with LIMIT clause
  • Limit with an Offset
  • The Select Option SQL_CALC_FOUND_ROWS
  • Introduction
  • Combining with UNION
  • Rules for using UNION
  • Keeping Duplicate Rows
  • Set Operators and NULL values
  • Introduction
  • Defining Variables with SET Statement
  • Defining Variables with SELECT statement
  • Application Areas for User Variables
  • Life Span/Scope of User Variables
  • The DO Statement
  • Introduction
  • A Sample Example of HANDLER Statement
  • Opening a Handler
  • Browsing the Rows of Handler
  • Closing Handler
  • Introduction
  • Inserting New Rows
  • Populating a Table with Rows from Another Table
  • Updating Values in Rows
  • Updating Values in Multiple Tables
  • Substituting Existing Rows
  • Deleting Rows from a Table
  • Deleting Rows from Multiple Tables
  • The TRUNCATE Statement
  • Introduction
  • Unloading Data
  • Loading Data
  • Introduction
  • Creating new tables
  • Data Types of Columns
  • Adding Data Type options
  • Creating Temporary Tables
  • What if Table already exists
  • Copying Tables
  • Naming Tables and Columns
  • Column Options: Default and Comment
  • Table Options
  • Introduction
  • Primary Keys
  • Alternate Keys
  • Foreign Keys
  • Check Integrity Constraints
  • Naming Integrity Constraints
  • Deleting Integrity Constraints
  • Introduction
  • Deleting entire table
  • Renaming Tables
  • Changing Table Structure
  • Changing Columns
  • Changing Integrity Constraints
  • Introduction
  • Rows, Tables
  • How does an index works
  • Creating Indexes
  • Defining Indexes together with Table
  • Dropping Indexes
  • Indexes and Primary Keys
  • Choosing Columns for Indexes
  • Introduction
  • Creating Views
  • The Column Names for the Views
  • Updating Views: WITH CHECK OPTION
  • Options of Views
  • Deleting Views
  • Restrictions on Updating Views
  • Processing View Statement
  • Application Areas for Views
  • Introduction
  • Database and Catalog
  • Creating Databases
  • Changing Databases
  • Dropping Database
  • Introduction
  • Overview of SHOW statement
  • Additional SHOW statement
  • The DESCRIBE statement
  • The HELP Statement
online coding course instructor 3 300x300.png

Learn from an industry veteran with 36+ years of experience.

Start Learning

Student Experiences & Reviews

online programming course review 01.jpg

Before joining this course, I found SQL very confusing. The trainer’s way of explaining every query and concept step-by-step made it so simple to understand. Now I can write and optimize SQL queries confidently. This training truly helped me strengthen my backend skills

Aishwarya T.
online programming course review 02.jpg

I had no prior experience with databases, but this MySQL training built my foundation perfectly. The practical examples and query exercises helped me learn quickly. I now understand how data actually drives applications — and I’m ready to apply these skills in my first IT job.

RAVI Kiran M.

🚀Ready to master MySQL and kickstart your IT career?

Join CreativeVT’s MySQL Database Training today and gain the skills that power modern software systems.

Enroll Now!
Scroll to Top