10 Day MySQL Bootcamp | My SQL Database Design for Beginners (Udemy.com)
Learn SQL Using MySQL with Over 150+ Examples, Hands-On Lectures, and Challenges. Beginner to Advanced My SQL in 10 Days
Created by: Faisal Memon (EmbarkX)
Last updated January 2026
What you will learn
- By the end of this course, you will be able to write SQL queries to perform data analysis and even manage the data on their own confidently.
- Concepts applicable to Databases such as PostgreSQL, Oracle, and Microsoft SQL Server
- Learn how you can design your own database and structure it by learning about different relationships and normalization techniques.
- Gain comprehensive knowledge of SQL syntax to query, modify, and manage data in databases effectively, using MySQL. Concepts and SQL knowledge applicable to pla
- Develop strong foundational skills in database creation, manipulation, and management using MySQL, a popular open-source relational database management system.
- Learn to do data analytics to extract actionable insights from complex datasets using advanced SQL queries, these can help you make informed business decisions.
How it compares
Against the other 518 rated Udemy courses in Software Development on CourseDuck:
- Rating4.5 out of 5higher than 41% of them
- Reviews278#302 of 519 by number of reviews
- Length15.7 hourslonger than 81% of them
- Last updatedJanuary 2026more recently than 55% of them
Course Description
You can learn MySQL Database Design and become a Data Analytics wizard in just 10 days!
Step into the realm of database management and SQL proficiency with our immersive 10-day course using My SQL. This course is structured to facilitate learners with no prior experience, gradually leading up to advanced concepts, making you adept in handling and manipulating data using MySQL.
Real World, Practical MySQL Course
This is a completely hands on course where we work with real data and learn SQL using real world scenarios.
10-Day My SQL Course Breakdown:
Day 1: Getting Started with SQL & My SQL
Introduction to Databases
Setting up MySQL / My SQL
Understanding basic database terminology
Getting acquainted with MySQL interface
Writing basic SQL Statements and querying the database
Day 2: Select - A Closer Look
Delving into SELECT statement
Selecting and extracting data from tables
Various options and settings associated with SELECT
Day 3: Where - A Closer Look
Understanding WHERE clause
Filtering data based on various conditions
Complex WHERE clauses
Day 4: Grouping and Aggregation
Introduction to data grouping
Using aggregate functions (SUM, AVG, MAX, MIN, COUNT)
Understanding GROUP BY and HAVING clauses
Day 5: JOINS
Overview of JOINS
Types of JOINS (INNER, LEFT, RIGHT, SELF, CROSS, NATURAL)
Practical examples and use cases
Day 6: Database Design
Principles of database design
Understanding relationships (One-to-One, One-to-Many, Many-to-Many)
Normalization and its types
Day 7: DDL (Data Definition Language)
Understanding DDL commands (CREATE, ALTER, DROP)
Creating and managing tables and databases
Day 8: DML (Data Manipulation Language)
Overview of DML commands (INSERT, UPDATE, DELETE)
Manipulating data in tables
Day 9: SubQueries and Functions
Developing subqueries
Working with ANY, ALL, EXISTS, NOT EXISTS
Day 10: MySQL with Python
Setting up Python MySQL environment
Executing MySQL commands from Python
Day 10: MySQL with Java
Configuring MySQL with Java
Executing MySQL commands from Java
What will You Learn in this SQL Database Design Course?
By the end of this course, you will be able to write SQL queries to perform data analysis and even manage the data on their own confidently.
Learn how you can design your own database and structure it by learning about different relationships and normalization techniques.
Gain comprehensive knowledge of SQL syntax to query, modify, and manage data in databases effectively, using MySQL. Concepts and SQL knowledge applicable to platforms like PostgreSQL, and SQL Server.
Develop strong foundational skills in database creation, manipulation, and management using MySQL, a popular open-source relational database management system.
Learn to do data analytics to extract actionable insights from complex datasets using advanced SQL queries, these can help you make informed business decisions.
Develop a rounded understanding of database concepts, including database design, normalization, which are essential in maintaining data integrity and consistency.
Engage in 50+ hands-on challenges to apply your acquired knowledge in real-world scenarios using My SQL
Learn how you can use MySQL with popular development environments like Java and Python.
Database Design with MySQL Course Features:
Over 150+ examples/challenges
Hands-on exercises and real-world project examples
Taught by an experienced instructor
Comes with a Certificate of completion
Prerequisites for this SQL with MySQL Course:
No prior experience in SQL or database is necessary
Target Audience for this SQL with MySQL Course:
Programmers / Engineering Architects who are looking to learn SQL to build database-driven applications
Aspiring data analysts and business analysts
Professionals aiming to upscale their SQL skills
Students and enthusiasts who wish to learn SQL to excel in their career
Let’s begin on this 10-day journey to transition from a novice to a proficient database master, capable of integrating MySQL functionalities with Python and Java. Let’s get data-driven.
Are you ready?
Enroll now, and we’ll see you in lesson 1.
Instructor Details
- 4.5 Rating
278 Reviews
Faisal Memon (EmbarkX)
I'm the founder of EmbarkX, a global developer education platform trusted by over 300,000 learners worldwide. My mission is to bridge the gap between what universities teach and what the industry actually demands — building engineers who are production-ready, not just tutorial-ready.
With a background spanning multiple ventures and recognition as a Google Accelerator alumnus, I've been at the forefront of reimagining how software engineers learn, grow, and build careers in a rapidly evolving tech landscape.
I am here on Udemy to share my knowledge with seekers and help them grow personally and professionally.
Glad to meet you :)
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Reviews
By Markale Carter on 12/30/2025
A clear breakdown of data, relational (structured) databases and non-relational (unstructured) databases.
By Cheryl Mowery on 12/28/2025
I enjoyed this class. I was able to follow along and engage in the activities to reenforce the learning. I like that it was taught in sections that made the learning more meaningful as this can be overwhelming all at once.
By Beethoven Jacques on 8/5/2025
This was an amazing course. The instructor did a very good job of explaining every concept and explained everything in a sensible way. All the hands-on activities made the class more interactive and encourage students to pay attention. Being able to practice what you've learn after every chapter was extremely valuable and gave me the confidence that I can apply what I was learning.
By Shoeb Akhtar on 1/30/2025
in this course everything is coverd with example for mysql what is missing and need to improve tcl command not include, use some visual graphics to improve way of teaching . and you want to learn mysql go for it.
By Kornkanya Krai on 12/23/2024
As the very beginner, this course layouts the basic which help a dummy like myself to understand the concept before jumping into the deeper water. Thank you so much.
By Akkamma Hiremath on 5/8/2024
First impression is best impression. from first two lectures itself ,I am satisfied with your explanation.Thank you.
By Dano Colombo on 3/1/2024
Could not run all the integration steps because my work environment is behind firewall.. but it was informative. Great job.
By Surabhi Mohan on 1/4/2024
What I appreciate about this course is that it sets you up for success and doesn't overwhelm the learner
By Anonymized User on 10/19/2023
from scratch it would be very Good. like from starting table creation skipping is not easy to continue
By J Wallace on 9/27/2023
Beginner stuff so far that I'm already familiar with... just going through the motions to get to the meatier stuff. :D
Quality Score
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Overall Score : 90 / 100









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