Complete SQL Course 2026: Beginner to Advanced SQL

Learn the select statement fundamentals in SQL, fetch data from a table by selecting specific columns, and understand why avoiding the asterisk improves performance in relational databases.

Master how to fetch unique values with the select distinct keyword, practice removing duplicates by querying a table for distinct first or last names, with or without parentheses.

Master select and where to fetch records by applying conditions, using comparison, arithmetic, and logical operators, including or and distinct to refine results.

Master using the where clause with comparison and logical operators to filter records by id ranges (4–8, 5–7) and by last name Kumar.

Sort query results with order by to arrange rows by a column in ascending or descending order, including multiple columns; default is ascending.

The top keyword limits rows and, with order by, shows the top records; in SQL Server you use top, while other databases use limit at the end.

Master using the between operator to match values within a range, including dates in ISO 8601 format. Explore not between, count(*), and handling nulls and distinct values in range queries.

Master the in operator to filter rows by a list of values, using in and not in with examples like map id 2468 and last names Kumar or Sharma.

Learn how to use group by to aggregate data by category, applying sum and average, with syntax rules and examples for single and multi-column groupings, and ordering results.

Learn to apply group by on a data table to produce distinct values by id, then compute aggregates like sum, average, and count for each group.

Learn to combine data from multiple tables with inner, outer (left, right, full), cross, and self joins. Understand when to use each join and the Cartesian product concept.

Create and populate the registrations and login tables, then perform an inner join on name to display combined results, using reg_id, log_id, and registrations.name to avoid duplicates.

Learn how left outer join keeps all rows from the left table and returns nulls for unmatched right table rows, with examples from registrations and logins.

Understand the right outer join, which returns all rows from the right table and shows nulls for unmatched left table rows, contrasting it with the left join.

Use the union operator to merge result sets from two or more select statements, concatenating data from registration and logins into a single result.

Explore how subqueries enable complex queries by running a query on the results of another query, with examples using where, in, exists, top, limit, and using different tables.

Learn SQL data types for table creation, from boolean to json and arrays. Discover primary and foreign keys and core constraints to ensure data integrity and enable joins.

Master the update command in SQL to modify column values with the set clause, apply where clauses, update all rows or specific records, and perform update joins.

Use the delete command to remove rows from a table, such as delete from table where employee_id = 3, or delete all rows; the caption also mentions returning removed rows.

Mastering altering an existing table with SQL Server, including adding, dropping, and renaming columns, and setting defaults and constraints, and renaming tables via stored procedures like sp_rename.

Learn how delete removes rows in SQL, how truncate clears all rows while preserving the table, and how drop removes the entire table. Note rollback limits and DML vs DDL.

Apply a check constraint to enforce data validity when creating tables, ensuring ages stay above a threshold and salaries exceed a minimum, with errors blocking invalid inserts.

Discover how to use the SQL case statement to implement conditional logic, using general case or case expression to map IDs to premium, normal, or gold.

Create views to encapsulate frequent inner-join queries, turning them into virtual tables that store the query (not data); fetch results with select star from view, and update or alter views.

Learn to fetch movie titles by joining three tables—film, actor, and film_actor—using two inner joins, filtering for Tom Cruise.