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Mastering MySQL: From Beginner to Advanced 2026
Rating: 4.4 out of 5(102 ratings)
11,175 students
Created byUday Academy
Last updated 1/2026
English

What you'll learn

  • SQL_Data_Database_DBMS – Understanding data, databases, and DBMS fundamentals (Preview available)
  • SQL_RDBMS – Introduction to Relational Database Management Systems
  • SQL_MySQL_RDBMS_Product – What is MySQL and how it works as an RDBMS
  • SQL_DataTypes – Overview of SQL data types and how to choose them
  • SQL_DDL_Create_Database_Table – Creating databases and tables using DDL commands
  • SQL_DML_Insert – Inserting data into tables with INSERT statements
  • SQL_DQL_SELECT_Part-1 – Introduction to SELECT queries
  • SQL_DQL_SELECT_Part-2 – Filtering, sorting, and using WHERE clauses
  • SQL_DQL_SELECT_Part-3 – Using logical operators and expressions
  • SQL_DQL_SELECT_Part-4 – Advanced SELECT operations
  • SQL_JOINS_Part-1_InnerJoin – Understanding INNER JOINs with examples
  • SQL_JOINS_Part-2_Left_Right_Joins – LEFT and RIGHT JOINs explained
  • SQL_JOINS_Part-3_Full_Cross_Self_Joins – FULL OUTER, CROSS, and SELF JOINs
  • SQL_FUNCTIONS_PART-1_AGGREGATE – Aggregate functions: COUNT, SUM, AVG, MAX, MIN
  • SQL_FUNCTIONS_PART-2_STRINGS – String functions: CONCAT, LENGTH, SUBSTRING, etc.
  • SQL_GROUPBY_HAVING_CLAUSE – Using GROUP BY and HAVING for grouped data
  • SQL_FUNCTIONS_PART-3_DATE_TIME – Working with date and time functions
  • SQL_FUNCTIONS_PART-4_NUMBER – Numeric and mathematical functions
  • SQL_DDL_CONSTRAINTS_PART-1 – Primary keys, foreign keys, and NOT NULL constraints
  • SQL_DDL_CONSTRAINTS_PART-2 – UNIQUE, CHECK, and DEFAULT constraints
  • SQL_DDL_CONSTRAINTS_PART-3 – Combining multiple constraints in tables
  • SQL_DDL_ALTER_DROP – Modifying and dropping tables safely
  • SQL_SUBQUERY_PART-1_SCALAR_SUB_QUERY – Introduction to scalar subqueries
  • SQL_SUBQUERY_PART-2_ROW_SUB_QUERY – Understanding row subqueries
  • SQL_SUBQUERY_PART-3_TABLE_SUB_QUERY – Using table subqueries
  • SQL_SUBQUERY_PART-4_CORRELATED_SUBQUERY – Writing correlated subqueries for dynamic filtering
  • SQL_WINDOW_FUNCTIONS_PART-1 – Introduction to window functions and OVER() clause
  • SQL_WINDOW_FUNCTIONS_PART-2 – Ranking functions: ROW_NUMBER, RANK, DENSE_RANK
  • SQL_WINDOW_FUNCTIONS_PART-3 – Aggregate functions over windows
  • SQL_WINDOW_FUNCTIONS_PART-4 – Advanced analytics with PARTITION BY and ORDER BY
  • SQL_STORED_PROCEDURES_PART-1 – Introduction to stored procedures and parameters
  • SQL_StoredProcedures.pdf (19 pages) – Examples and syntax of stored procedures
  • SQLFunctions.pdf (78 pages) – Comprehensive list of string, numeric, and date functions
  • WindowFunctions.pdf (66 pages) – Step-by-step guide to window functions
  • SubQueries.pdf (78 pages) – Detailed examples of scalar, row, and correlated subqueries

Course content

1 section31 lectures10h 54m total length
  • SQL_Data_Database_DBMS17:38
  • SQL_Rdbms8:36
  • SQL_MySql_RDBMS_Product11:18
  • SQL_DataTypes16:11
  • SQL_DDL_Create_Database_Table23:11
  • SQL_DML_Insert15:44
  • SQL_DQL_SELECT_Part-119:41
  • SQL_DQL_SELECT-Part-218:56
  • SQL_DQL_Select_Part-322:02
  • SQL_DQL_SELECT_Part-427:16
  • SQL_JOINS_Part-1_InnerJoin22:28
  • SQL_JOINS+Part-2_Left_Right_Joins12:12
  • SQL_JOINS_Pat-3_Full_Cross_Self_Joins33:54
  • SQL_FUNCTIONS_PART-1_AGGREGATE14:15
  • SQL_Functions_PART-2_STRINGS27:00

    Master string functions in MySQL, including upper, lower, left, right, length, trim, concat, and substring, with practical examples using customers data.

  • SQL_GROUPBY_HAVING_CLAUSE28:35
  • SQL_FUNCTIONS_PART-3_DATE_TIME40:33

    Explore date and time functions in MySQL, including current date, time, and timestamp, and learn to extract parts, compute differences, add intervals, and format dates for display.

  • SQL_FUNCTIONS_PART-4_NUMBER10:01
  • SQL_DDL_CONSTRAINTS_PART-124:11
  • SQL_DDL_CONSTRAINTS_PART-232:54
  • SQL_DDL_CONSTRAINTS_PART-311:06

    Learn how check constraints enforce conditions such as amount must be at least ₹100, and how default constraints set salary to ₹25,000 when not provided, with orders and employees examples.

  • SQL_DDL_ALTER_DROP8:20
  • SQL_SUBQUERY_PART-1_SCALAR_SUB_QUERY36:43

    Master subqueries in MySQL, including scalar subqueries inside where clauses, by using inner and outer queries on a movies table with max and avg to compute top scores and profits.

  • SQL_SUBQUERY_PART-2_ROW_SUB_QUERY34:43
  • SQL_SUBQUERY_PART-3_TABLE_SUB_QUERY20:30

    Explore table subquery and how inner queries return a table for an outer query to filter data. See how department salary comparisons and most profitable movies by year are derived.

  • SQL_SUBQUERY_PART-4_CORRELATED_SUBQUERY20:55
  • SQL_WINDOW_FUNCTIONS-PART-124:57
  • SQL_WINDOW_FUNCTIONS-PART-220:31
  • SQL_WINDOW_FUNCTIONS_PART-38:54
  • SQL_WINDOW_FUNCTIONS_PART-413:55
  • SQL_STORED_PRICEDURES_PART-127:39

Requirements

  • No prior SQL or database knowledge required — this course starts from absolute basics.
  • A computer (Windows, macOS, or Linux) with a stable internet connection.
  • Willingness to install MySQL Community Server and MySQL Workbench (step-by-step setup included in the course).
  • Basic understanding of how to use a computer and navigate folders.
  • (Optional) Familiarity with any programming language like Python, Java, or PHP — helpful but not necessary.
  • A curious and logical mindset — if you enjoy solving problems, you’ll love learning SQL.

Description

Welcome to “Mastering MySQL: From Beginner to Advanced”, your complete, hands-on journey into the world of databases and SQL. Whether you are a beginner exploring databases, a developer upgrading your SQL skills, or a data analyst working with complex datasets, this course will help you master MySQL step by step — from the absolute basics to professional-level expertise.

MySQL is the most popular open-source database used by global tech giants such as Facebook, Netflix, YouTube, and Twitter. It powers millions of applications and websites, making it one of the most essential tools for developers, data analysts, and software engineers.

In this course, you’ll learn everything from database design to query optimization through practical, real-world examples. You’ll start with understanding tables, schemas, and relationships, then move on to writing SQL commands, joining multiple tables, creating stored procedures, handling transactions, and optimizing performance.

What makes this course unique is its hands-on approach — every topic is taught with live demonstrations and exercises. You’ll build and manage a complete database project from scratch, troubleshoot performance issues.

By the end of this course, you’ll have the confidence and skill to design, build, query, and optimize databases like a professional — ready for interviews, real-world projects, and career growth in the data-driven world.

Who this course is for:

  • Complete beginners who want to start a career in databases, data analysis, or backend development.
  • Software developers who want to strengthen their SQL fundamentals and integrate MySQL with applications.
  • Data analysts and data scientists who work with structured data and want to write optimized SQL queries.
  • Students and computer science graduates looking to build strong database management skills.
  • Web developers who want to connect their websites or APIs to MySQL databases.
  • Testers and QA engineers who need to query and validate data directly from databases.
  • IT professionals and system administrators who want to understand how to manage and secure MySQL databases.
  • Anyone preparing for technical interviews, certifications, or data-related job roles.
  • Anyone who wants to gain practical, real-world experience in database design, querying, and optimization.