Master SQL: A Comprehensive Guide from Beginner to Advanced

Advance your SQL skills by exploring intermediate concepts such as joins, unions, string functions, case statements, subqueries, and window functions through practical exercises.

Explore how to retrieve data from multiple tables in a single query using joins, including inner, outer, left, and right joins, with primary and foreign keys.

Explore inner join basics by combining employee demographics and salary tables using a common employee ID, and learn to use aliases and selective columns to read results clearly.

Explore outer joins in SQL, including left outer join and right outer join, to retrieve all records from one table with matching data from another and handle nulls when unmatched.

Explore self joins by joining the same table on employee_id, using plus one to create matches, and learn when this technique is useful.

Master joining three tables with inner, left, and outer joins to combine employee demographics, salary, and department details using the department id as the key.

Learn how unions combine rows from two queries using union all or union distinct, contrasting with joins that merge columns, and see examples with employee demographics and salary data.

Use unions in sql to combine multiple queries with the same column list and where conditions, then label results as old man, old lady, or highly paid to categorize data.

Learn how to use length, upper, and trim functions (including ltrim and rtrim) in SQL to measure text, standardize case, and remove leading or trailing spaces.

Learn to use the substring function to extract specific characters from text, such as first names or birthdate months, by specifying start positions and lengths in real-time SQL projects.

Master SQL string functions by locating characters with the locate function and using the concat function to form a full name from first and last names with a space.

Master SQL demonstrates using the case statement in MySQL to categorize data by conditions, such as age brackets: young, middle aged, and senior.

Learn how to use a case statement in SQL to perform mathematical operations, such as calculating salary hikes and department-based bonuses.

Explore subqueries in SQL, using an inner query in the where clause to filter employee demographics by department id from the salary table, and apply it with the in operator.

Learn how to place a subquery in the select clause to compute the overall average salary from the employee salary table, returning first name, salary, and the calculated average.

explore using subqueries in the from clause to compute aggregates such as average, max, min, and count, with aliases and nested queries across multiple tables.

Learn how window functions using over() enable partitioned calculations and resemble group by behavior, demonstrated with average salary by gender and selecting first and last names.

Learn how to use SQL window functions to compute rolling totals by partitioning by gender, summing salaries, and calculating running totals ordered by employee id with the over function.

Explore window functions in SQL, including row_number, rank, and dense_rank, with practical examples using partition by gender and salary order to generate top salaries and understand ranking behavior.

Explore advanced SQL concepts such as stored procedures, temporary tables, and common table expressions, then learn triggers and events to sharpen your data-driven decisions in real-time projects.

Explore common table expressions (CTEs) and learn how to replace subqueries with with clauses, aliasing, and temporary tables for cleaner from-clause queries and on-the-fly calculations like averages.

Learn how to create multiple common table expressions (ctes) in SQL, define two ctes from different queries, and join them to analyze employee data.

Learn how temporary tables work in a session, how they differ from common table expressions, and how to create them by defining new columns or copying data.

Create and use temporary tables in MySQL Workbench to perform session-specific data analysis, including creating, inserting, and selecting from temporary tables derived from existing tables, useful in stored procedures.

Master SQL introduces stored procedures as reusable, time-saving components that let you encapsulate complex queries and perform multiple operations, and shows how to create them.

Learn how to create and call a simple stored procedure in SQL, using a reusable query to fetch salaries above 50,000.

Create stored procedures that run multiple queries using delimiters and begin-end blocks, including dollar-sign delimiters. Call and test the procedure to retrieve multiple result sets.

Create and call parameterized stored procedures in SQL to fetch a specific salary by employee id. Handle parameter names and data types for multiple parameters in real-time projects.

Learn how triggers in MySQL automatically run a block of code when events occur on another table. See how new employee records with salary update the demographic data automatically.

Create and test an after insert trigger on the employee salary table that adds new rows to employee demographics for each inserted salary, using new values.

Create and test SQL events that run on schedule to automatically delete employee demographics records older than 60, using on schedule every intervals and learn dropping events and triggers.

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