Become a MySQL Pro: Learn from Beginner to Expert

Master structured query language (SQL) for managing relational databases, including inserting, updating, deleting, and retrieving data, and creating or modifying database structures, with DDL, DML, DCL, and transmission control language.

Install MySQL workbench, server, and shell with the MySQL installer, configure the 8.0.32 server, set a root password, and update the system path for environment variables.

Learn SQL datatypes, from integer, decimal, float, double, to varchar and blob, date and time types; compare char versus varchar, and explain timestamps and boolean storage for true or false.

Demonstrate connecting to MySQL from the command prompt, navigating paths, checking version, and performing core operations: create a database, use it, create a table, insert data, and query it.

Learn to create databases in MySQL using MySQL Workbench, log in, and run a create database command while observing case-insensitive SQL behavior and schema updates.

Create a table in MySQL using create table and define columns with int and varchar. Select the database and use describe to view the table structure and primary key.

Learn how to use the alter table command in MySQL to add, modify, rename, and drop columns in a table, with practical examples on a student table.

Learn to permanently delete a table or database in MySQL using the drop statement, removing all data, indexes, constraints, triggers, and permissions, with practical drop table and drop database examples.

Learn how the truncate command removes all rows from a table while preserving its structure in MySQL, using an employee table example.

Rename a table in MySQL with the rename command, a data definition operation, changing the old table name to a new one such as employee to employee details.

Compare the drop, truncate, and delete commands in SQL; delete targets specific rows with conditions, truncate removes all rows while preserving the table, and drop removes the entire table.

Master how to insert into a table using MySQL, including specifying values, skipping columns, and inserting multiple rows in a single statement.

Update data in a MySQL table using the update command with set and where clauses, verify changes with select, and manage safe update mode and replace or null values.

Learn how to use delete from to remove rows from a table in MySQL, including deleting all rows or using where conditions to delete specific rows.

Learn how commit, rollback, and save points manage transactions in MySQL, including enabling manual commit, applying rollback to insert, update, and delete, and using save points to revert selectively.

The primary key constraint uniquely identifies each row and cannot be null, preventing duplicate ids; the lecture demonstrates duplicate key errors and how default values can cause duplicates.

Learn how the unique key constraint enforces distinct values in a table by creating a student table with a unique email. See how inserting duplicates triggers a duplicate entry error.

Explore the not null key constraint, which requires an attribute to contain values, and see how the primary key combines unique and not null within key constraints.

Learn how a check constraint enforces data rules by restricting the student age to be 16 or older and blocks inserts that violate the constraint.

Explore how foreign keys enforce referential integrity between customer and order tables in MySQL, preventing invalid insertions and deletions due to child-parent constraints.

Master the select and where clauses to pull data from a table, filter records with conditions, select specific columns or all columns, and apply greater-than and less-than comparisons.

Sort the result set with the order by clause in MySQL, choosing ascending or descending order, using the syntax: select columns from table order by column.

Group by clause groups rows with the same value, enabling aggregation with sum and count, and use where and order by to filter and summarize salaries.

Explore how the having clause filters grouped data in MySQL by applying conditions on aggregate results, using group by and count to identify salaries with multiple employees.

Learn how the distinct clause filters duplicate rows in a select query, removing duplicates from the results, with examples using employee names and salaries.

Explore MySQL functions, from avg, max, min, and count to string functions like concat and upper, plus last_insert_id and mid; learn to order by, limit, and apply distinct values.

Master how logical operators and, or, and not work in MySQL queries, with examples using age and salary filters on an employee table.