MySQL Mastery: From Fundamentals to Advanced Queries

Understanding tables: structure, creation, and managing table attributes.

Inserting data into tables using SQL INSERT statements.

Querying data using SQL SELECT to retrieve specific rows from a table.

Updating and deleting records using UPDATE and DELETE statements.

Understanding transactions: how to use AUTO_COMMIT, COMMIT, and ROLLBACK for data integrity.

Working with MySQL data types for handling time, date, and datetime fields.

Applying the UNIQUE constraint to ensure that values in a column are distinct.

Using the NOT NULL constraint to ensure that a column does not accept NULL values.

Implementing the CHECK constraint to enforce domain integrity.

Setting default values for columns using the DEFAULT constraint.

Understanding and applying the PRIMARY KEY constraint for unique identification of records.

Using AUTO_INCREMENT to automatically generate unique IDs for new records.

Understanding and working with foreign keys to establish relationships between tables.

Introduction to different types of joins (INNER, LEFT, RIGHT, FULL OUTER JOIN) to combine data from multiple tables.

Using SQL functions for string manipulation, data transformation, and aggregation.

Applying logical operators like AND, OR, and NOT in queries.

Using LIKE and wildcards (%, _) for pattern matching in SELECT queries.

Sorting query results with the ORDER BY clause based on one or more columns.

Restricting the number of records retrieved using the LIMIT clause.

Using the UNION operator to combine the results of multiple queries.

Understanding and implementing a self-join to combine rows from the same table.

Creating and managing views to simplify complex queries and improve security.

Introduction to indexing and how it helps speed up database queries.

Using subqueries to perform queries within queries and return results.

Aggregating data using the GROUP BY clause for summarizing large datasets.

Understanding and using the ROLLUP operator to create summary reports from grouped data.

Handling foreign key deletions using ON DELETE actions such as CASCADE, SET NULL, etc.

Creating and using stored procedures for reusable code and efficient querying.

Implementing triggers to automatically perform actions in response to data modifications.