The Complete MySQL- All In One

Learn the basics of the select statement in MySQL, including selecting all or specific columns from a table, running queries, viewing results, and toggling between databases for practice.

Master the where statement in MySQL by applying conditions with operators such as greater than, less than, not equal, and between to filter results and build precise queries.

Explore how to use the order by clause in MySQL to sort data, learn default ascending order, switch to descending, and sort results by first name using practical actor-table examples.

Learn how to handle null values in mysql, using is null and is not null to filter data and avoid comparing to null in queries.

Master conditional operators in MySQL, including and, or, not, and between, to filter data by continent and region and practice combining multiple conditions.

Master the MySQL like operator and its wildcard characters, including percent and underscore, to filter data by starts with, ends with, or contains patterns.

Learn to use the in operator to filter countries by multiple continents, selecting names from the country table where the continent is in ('Asia','Europe').

Explore the between operator in MySQL to find countries in Asia and Europe by continent with life expectancy between 60 and 70, and apply not between for exclusions.

Explore the union operator in mysql by merging two tables on first name and last name, showing how union removes duplicates and union all can produce duplicates.

Demonstrate inner join by matching rows from two tables through a common column, returning only those that meet the join condition. Use students and placement examples.

Learn how the left join, a type of outer join, returns all rows from the left table and matching rows from the right to combine city, country, and continent data.

Learn how the right join works as the opposite of the left join, returning all rows from the right table with matching left records, shown using city and country tables.

Explore self join concepts by joining a table with itself to reveal each employee's manager and the manager's manager, and demonstrate practical use cases in MySQL.

Explore MySQL aggregate functions like count, max, sum, and average to compute totals and extremes by continent, and use subqueries to identify the country with the maximum population.

Learn how to use the group by clause to aggregate data, count countries by continent, and find the maximum population per continent in MySQL.

The having clause lets you filter grouped results using aggregate conditions after a group by, such as max population or number of countries above a threshold.

Learn to create and drop databases, switch contexts with use database, and manage table structures and data within MySQL.

Learn how to create and modify a MySQL table for an employee database, including defining columns, dropping and altering tables, and applying constraints to manage data.

Rename a table to reflect changes, use show tables and describe to inspect structures, and explore constraints and primary keys across the database tables.

Create a new table with constraints mirroring the source structure, then insert data from the existing table using select. Ensure duplicates are prevented with distinct values and verify results.

Enforce the not null constraint to prevent inserts with missing values, ensuring data validity. Learn to add, modify, and remove not null constraints and manage default values during inserts.

Learn how to apply default constraints in MySQL by setting default values for columns, using create and alter table statements, and managing cases with nulls or missing data.

this lecture explains the unique constraint in mysql, ensuring no duplicates in a column, with examples on id, name, and email and how to add or drop it.

Learn how a primary key enforces non-null, unique values on a single column, how to create, add, or drop it, and how it identifies each table row.

Explore how foreign keys link tables by referencing a primary key to enforce referential integrity, and use joins to merge related data from employee and job tables.