Complete SQL Course 2026: SQL Bootcamp + 50 Practice Qs

Master SQL basics as a structured query language to store, retrieve, and manipulate data in relational databases; learn the select statement, fetch specific columns, and avoid selecting all columns.

Learn to fetch unique values with the select distinct keyword, handling duplicates in a table by selecting specific columns or all fields, with syntax examples from SQL Server Studio.

Explore the count function, including count(*), count on a column, and count(distinct), to determine total rows and the number of unique values in a table.

Master the fundamentals of select and where to fetch records from tables, build conditions with comparison, arithmetic, and logical operators, and combine criteria to filter results.

Apply the where clause with comparison and logical operators in SQL to filter records by id ranges and last names, as shown in this select where part two.

Sorts query results using order by to arrange rows by a column in ascending or descending order, and supports multiple columns for sorting, including examples with first name and sales.

Explore the top keyword in SQL Server to limit rows, combine it with order by for top records, and compare it to limit in PostgreSQL, MySQL, and Oracle.

Explore how the between operator matches a value within a range, including dates and timestamps in ISO 8601 format, with not between variants, and practical counting examples.

Master the SQL in operator to filter rows by a list of values, with examples like first name in Amit and Sachin, or map_id in 2468.

Master the like and not like operators in SQL, using percent and underscore wildcards to match patterns and filter with starts, ends, contains, and not in exclusions.

Explore group by and essential aggregate functions—count, min, max, sum, and avg—and how to use round and having clause to analyze data distribution by category.

Master group by to aggregate data by category or multiple columns using sum, average, min, max, and count, with syntax and placement after from or where.

Use group by with aggregate functions to compute totals, averages, and counts by source data type ID and name, shown on a payment detail table with Amit Sumit and Sachin.

discover how the having clause filters aggregated results after a group by, using sum of sales to show records exceeding thresholds and refine grouped data.

Learn how to rename columns and aggregates with the SQL as clause, using select column as new_name and sum(amount) as total_amount, and why aliases can’t appear in where.

Explore how joins combine data from multiple tables, including inner, left/right/full outer, cross, and self-joins, with practical examples and an emphasis on matching columns and cartesian products.

Learn how to perform an inner join between registrations and login tables, matching by name to display reg_id, log_id, and names, with guidance on column selection.

learn to use a full outer join to fetch all records from the left and right tables, showing nulls for non matching rows, with syntax illustrated by a registration–logins example.

Learn left outer join to fetch all records from the left table and display nulls for unmatched right table rows, using registration and logins as examples.

Learn how right outer join returns all rows from the right table and matches with the left table, showing nulls for nonmatches, with syntax and practical examples.

Learn to use the union operator to combine result sets from two or more select statements, pasting data from registration and logins tables into one set of eight rows.

Master self-join techniques by joining a table to itself using aliases to compare values within the same table, illustrated with an employees table and report relationships.

Master subqueries by running a query inside another to build complex filters, using in operators, and applying top or limit to reveal the highest and second highest salaries.

Master subqueries in SQL with practical examples, including finding second maximum values, using exists and in operators, and calculating averages on payment details.

Learn to choose SQL data types for tables and apply constraints, including primary keys and foreign keys, with not null, unique, check, and exclusion constraints.

Create a table with constraints, defining user_id as primary key, name and email as unique not null, password as not null, and use created_on and last_login timestamps with defaults.

Apply the insert into table syntax with column list and select from a table to add rows, while respecting constraints like not null and primary key to prevent invalid data.

Master the SQL update command to modify table values, using set and where, with examples like updating last_login to current timestamp and performing updates with joins.

Use the delete command to remove rows from a table, including conditional deletes and cross-table deletes, and learn about returning deleted rows. Also practice deleting all rows in a table.

Explore alter table operations in SQL Server, including adding and dropping columns, renaming tables via sp_rename, and managing constraints, defaults, and not null settings.

Explain the differences between delete, truncate, and drop commands in SQL: delete removes rows, truncate clears rows but preserves structure, and drop removes the table.

Explore how to enforce data validity with check constraints by applying conditions on table columns, such as age being greater than 18 and salary greater than 5000.

Explore SQL case statements to execute actions by conditions, using general case or case expression, with syntax and examples classifying employees as premium, gold, or normal profiles.

learn how views store a query as a virtual table to simplify repeated inner joins in SQL, and how to create and query them.

Convert an inner join query into a reusable sql view using create view. Query the view for registration info, then alter it to add log_id and reg_id, and drop it.

Fetch movie titles by joining three tables—film, actor, and film_actor—using two inner joins. Show the film title with Tom Cruise's first and last name to illustrate practical inner joins.