Mastering MySQL: From Beginner to Advanced 2026

Explore SQL by defining data and databases and understanding how a database management system (DBMS) organizes data in tables. Learn relational database concepts, including storing, retrieving, updating, and deleting data.

Explore relational database management systems, how data sits in tables with SQL, and key concepts like primary keys and foreign keys, highlighting MySQL as open-source.

Explore MySQL, an open source rdbms, its SQL language, table relations, and key features like cross-platform, security, and replication, plus using MySQL Workbench for graphical query building and administration.

Master MySQL data types across numeric, string, and date/time categories, including int and bigint for integers, decimal/float/double for numbers, char/varchar/text for strings, and date/datetime/timestamp/time for dates.

Learn what SQL commands are and their five categories, focusing on DDL to define schema, create databases and tables, and choosing types like int and varchar.

Learn to insert data into a MySQL table using insert into syntax, including single and multiple rows, and verify structure with describe or show columns.

Discover the data query language and the select statement to fetch data from tables, covering column selection (including star), where filters, order by, and distinct.

Master the select statement: retrieve all columns with select star, pick specific columns, apply distinct, use limit, and order by country and score in ascending or descending order.

Explore filtering data with the where clause, apply comparison and logical operators (and, or, not), and use between and like in SQL, illustrated with country and score examples.

Mastering MySQL discusses not, between, in, not in, and like operators in SQL, with examples using score ranges, dates, and pattern matching to filter data.

Master SQL joins by exploring inner joins and how to combine data from multiple tables using common fields, with practical examples of customers and orders and alias usage.

Master left joins and right joins in MySQL by combining all rows from the left or right table with matching rows from the other table, using customer and order examples.

Explains full outer join and MySQL workaround with left join and union. Covers union vs union all, cross join, self join, and natural join with practical examples.

Master the fundamentals of SQL aggregate functions, including count, sum, average, max, and min, with practical examples from customers, orders, and employees.

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

Explore group by and having clauses in sql, using aggregate functions like sum and count, and learn their placement with where, order by, and limit to analyze and summarize data.

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.

Explore numeric functions in MySQL, including abs, ceil, round, power, sqrt, mod, and rand, to perform calculations on numeric data and manipulate values with built-in math operations.

Explore how ddl drives table creation and constraint enforcement, from creating the student and employee tables to preventing duplicates with not null and unique rules.

Master SQL constraints by exploring not null, unique, primary key, foreign key, and references; learn how primary keys ensure uniqueness and referential integrity across related tables.

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.

Master MySQL ddl commands by altering tables to add, modify, rename columns, and drop columns, or rename and drop tables, building on earlier create table constraints.

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.

Master subqueries in MySQL: leverage multi-row and scalar subqueries, in/not in/exists operators, and common table expressions to filter top three directors by gross and rating with votes.

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.

Explore correlated subqueries, where the inner query depends on the outer and runs for every row, unlike regular subqueries. Learn to find employees with salaries above their department's average.

Explore window functions such as rank, dense rank, and row number to perform analytic rankings using partition by and order by, with examples of college, branch, and department rankings.

Explore window functions in SQL, compare them to aggregate functions, and learn to use over and partition by to compute per-row analytics without collapsing data.

Explore window functions such as first_value and last_value to extract first or last rows in a department, and use lag and lead to analyze overtime hours.

Master lag and lead functions in mysql to access previous and next row values without self-joins, using over partition by order by, and ntile to distribute rows into buckets.

Learn how stored procedures in MySQL encapsulate reusable blocks of SQL, created with begin-end and a delimiter, stored as objects, and invoked via call with input/output parameters.