Mysql MasterClass: Master Basic to Advanced Mysql Queries

Explore relational databases and MySQL basics, including tables, rows and columns, primary keys, foreign keys, referential integrity, and real-world use cases in e-commerce, social media, and finance.

Explore MySQL, a popular open source relational database management system, and how it uses SQL for reliable, secure, scalable, and efficient data handling. See MySQL Workbench interface and community support.

Install and configure MySQL server and MySQL workbench, meet system requirements, download the free community server, set the root password, and connect to a test instance in the workbench.

Learn to create and manage databases in MySQL using Workbench, execute create database statements, verify connections, and rename databases by transferring data and dropping the old one.

Learn to create tables in MySQL, specify integer and varchar data types, apply constraints for data integrity, and insert and select sample rows in an employees table.

Insert multiple rows with bulk insert syntax, update data using update and set, and delete rows with where conditions, including id ranges and like patterns, noting safe update mode.

Explore domain constraints like not null and check to enforce valid values, then apply entity integrity with unique and primary key constraints, including composite primary keys; briefly cover referential integrity.

Enforce referential integrity between the department and employee tables with a foreign key on department number referencing department number, ensuring every employee links to a valid department.

Learn to retrieve and manipulate data with basic select statements, use ellipses for aliases, and filter results with where clauses using and/or conditions and dates.

Master arithmetic, comparison, and logical operators in MySQL to compute total sales, create adjusted quantities, and filter conditions like equal, not equal to, and less than or equal to.

Explore SQL character functions such as concat, substring, length, and replace; learn to create a database and employee table, and generate login IDs using nested functions.

Explore range searching and pattern matching in MySQL queries using the between and like operators, with wildcards and examples on filtering by age and department and by first names.

Sort query results with the order by clause, using ascending or descending order, including multi-column sorts by department and age, and even by expressions like name length.

Discover how the group by clause groups rows by department and age group for aggregation with count and average. Learn to use case statements to create derived columns.

Learn to use the having clause with group by to filter groups based on aggregate results. Explore examples like departments with more than two employees and average age above 30.

Explore aggregate functions in SQL, including sum, average, min, max, and count, with group by usage and practical examples like department salaries and age-based groupings.

Explore SQL date functions such as current date, date_add, date_sub, and datediff to filter hires, calculate tenure, group by month, and find upcoming project deadlines.

Master MySQL data type conversions with cast and convert functions, turning age to integer, salary to decimal, and hire date to date, while noting auto increment and temporary result-set casts.

Explore how convert and cast differ in MySQL, and learn to permanently change data types with alter table, while understanding when convert acts as a temporary change.

Explore MySQL set operators such as union, union all, and emulate intersect and except to combine queries across two employee tables and count departments.

Explore inner join concepts in MySQL, learning syntax, table aliases, and practical examples that combine employees, departments, and projects while using where filters and performance tips.

Master left join in MySQL to fetch all records from the left table and matching rows from the right, with nulls for nonmatches, and compare to inner join.

Master right join and simulate full join in MySQL by using left joins with union. Learn how nulls appear when there is no match and how aliases refine queries.

Explore real-world MySQL queries for a healthcare inventory system, using inner and left joins to link medicines, suppliers, orders, patients, and prescriptions with dosages.