SQL Basics to Advanced: Full Course Guide & Transcript

SQL Full Course 2026 | Complete Basics to Advanced SQL Course | Simplilearn

6h 00m video Published Sep 19, 2026 Transcribed Oct 19, 2026 Simplilearn

Simplilearn

View full performance history →

Beginner 30 min read For: Beginners in tech, data analytics, or backend development who want to learn SQL from scratch.

AI Trust Score 70/100

⚠️ Average / Some Fluff

"The title promises a complete SQL course, and it delivers a solid introduction to SQL basics, but it's more of a beginner's overview than a comprehensive advanced course."

AI Summary

This video is a comprehensive SQL course covering everything from basic database concepts to advanced joins and commands. The instructor explains how SQL is used to manage and query data, demonstrates installation and setup, and walks through practical examples using MySQL. The course is designed for beginners and aims to provide a solid foundation in SQL for data analysis and backend development.

Chapters

1 Introduction to SQL and Databases 00:00 2 Database Fundamentals and DBMS 03:10 3 Types of Databases and Setup 22:29 4 MySQL Installation and Interface 37:56 5 Basic SQL Queries 59:02 6 Filtering and Pattern Matching 01:42:17 7 Aggregation and Grouping 02:12:26 8 Joins and Advanced Concepts 03:05:35 9 SQL Command Types 05:52:24

[00:07]

Importance of SQL

SQL is a crucial skill for anyone starting in tech analytics or backend development, as it is used to store, retrieve, and manage data.

[01:03]

Course Overview

The course will cover database fundamentals, SQL commands (CREATE, INSERT, UPDATE, DELETE, SELECT), filtering, sorting, grouping, aggregate functions, keys, constraints, table relationships, joins, subqueries, views, indexes, and stored procedures.

[03:10]

Introduction to SQL

SQL is a language used to communicate with databases. It is similar to English, making it easy to learn.

[06:08]

Databases vs. Excel

Databases are containers that can store and organize large amounts of data, unlike Excel which has limitations with big data, security, and concurrent access.

[10:41]

Limitations of Excel

Excel cannot handle large datasets (e.g., 10 lakh rows) without crashing or becoming slow. It also lacks robust security features for sharing specific data.

[18:42]

DBMS Role

A Database Management System (DBMS) handles SQL queries, prioritizes them, and manages data. It interacts with the database to process requests from users and applications.

[22:29]

Types of Databases

There are various database types, including relational (RDBMS) like MySQL, key-value stores like Redis, columnar databases like Cassandra, and NoSQL databases.

[34:26]

Database Structure

The structure includes a server (physical system), databases (containers), schemas (logical containers), and tables (where data is stored in rows and columns).

[37:56]

MySQL Installation

The instructor provides instructions for installing MySQL Community Server and MySQL Workbench on Mac and Windows, including using the MySQL Installer for Windows.

[47:09]

Practice Labs

The course includes practice labs where students can run code and practice SQL queries in a virtual environment.

[54:21]

MySQL Workbench Interface

The interface includes a navigator, schemas, query editor, and output panel. Users can write and execute SQL scripts.

[59:02]

Creating a Database

The syntax for creating a database is 'CREATE DATABASE database_name;'. SQL is not case-sensitive, but it's good practice to use uppercase for commands.

[01:01:28]

Comments in SQL

Comments can be single-line (using '--' or '#') or multi-line (using '/* ... */'). They are non-executable statements.

[01:07:14]

Executing Queries

To run a query, use the lightning bolt icon. The first icon runs the entire script, while the second runs only the selected statement. A green checkmark indicates success.

[01:10:45]

Using a Database

After creating a database, you need to select it (double-click) or use the 'USE database_name;' command to work with it.

[01:13:27]

Importing Data

Data can be imported into a table using the 'Table Data Import Wizard' in MySQL Workbench, which supports CSV files.

[01:30:29]

SELECT Statement

The SELECT statement is used to display data. 'SELECT * FROM table_name;' displays all columns, while specifying column names displays only those columns.

[01:35:27]

LIMIT Clause

The LIMIT clause restricts the number of rows returned. For example, 'SELECT * FROM emp LIMIT 5;' returns the first 5 rows.

[01:37:09]

ORDER BY Clause

The ORDER BY clause sorts data. By default, it sorts in ascending order. Use 'DESC' for descending order.

[01:42:17]

WHERE Clause

The WHERE clause filters data based on conditions. For example, 'SELECT * FROM emp WHERE exp > 5;' returns employees with more than 5 years of experience.

[01:51:36]

IN Operator

The IN operator simplifies queries with multiple conditions from the same column. For example, 'WHERE dept IN ('Retail', 'Finance', 'Healthcare')'.

[01:55:21]

BETWEEN Operator

The BETWEEN operator is used for range conditions. For example, 'WHERE salary BETWEEN 5000 AND 10000'.

[01:59:21]

LIKE Operator

The LIKE operator is used for pattern matching with text values. '%' matches any sequence of characters, and '_' matches exactly one character.

[02:12:26]

Aggregate Functions

Aggregate functions include SUM, AVG, MIN, MAX, and COUNT. They are used to summarize data.

[02:25:29]

GROUP BY Clause

The GROUP BY clause groups rows based on a column, allowing aggregate functions to be applied to each group. For example, 'SELECT dept, AVG(salary) FROM emp GROUP BY dept;'.

[02:53:16]

HAVING Clause

The HAVING clause filters groups based on aggregate conditions. For example, 'SELECT dept, SUM(salary) FROM emp GROUP BY dept HAVING SUM(salary) > 30000;'.

[03:05:35]

Query Structure

The order of clauses in a query is: SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY, LIMIT.

[03:13:44]

Introduction to Joins

Joins are used to combine data from multiple tables based on a common column. There are four main types: INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

[03:16:32]

INNER JOIN

INNER JOIN returns only the rows that have matching values in both tables. It's the most commonly used join.

[03:22:10]

LEFT JOIN

LEFT JOIN returns all rows from the left table and matching rows from the right table. If there's no match, NULL values are returned for the right table columns.

[03:23:20]

RIGHT JOIN

RIGHT JOIN is similar to LEFT JOIN but returns all rows from the right table and matching rows from the left table.

[03:23:33]

FULL JOIN

FULL JOIN returns all rows from both tables. MySQL does not directly support FULL JOIN, but it can be simulated using LEFT JOIN, RIGHT JOIN, and UNION.

[03:25:09]

Creating Tables

Tables can be created using the CREATE TABLE command. For example, 'CREATE TABLE jan (id INT, name VARCHAR(50));'.

[03:29:37]

UNION Operator

UNION combines the results of two or more SELECT statements and removes duplicate rows. UNION ALL keeps duplicates.

[05:52:24]

Types of SQL Commands

SQL commands are divided into five categories: DDL (Data Definition Language), DML (Data Manipulation Language), DCL (Data Control Language), TCL (Transaction Control Language), and DQL (Data Query Language).

[05:52:55]

DDL Commands

DDL commands include CREATE, DROP, ALTER, RENAME, and TRUNCATE. They are used to define and manage the structure of database objects.

[05:55:15]

DROP Command

The DROP command deletes the entire structure of a database or table, as if it never existed.

[05:57:10]

RENAME Command

The RENAME command is used to rename a table. For example, 'RENAME TABLE jan TO january;'.

Mentioned in this Video

MySQL

tool

MySQL Workbench

tool

PowerBI

tool

Tableau

tool

IITM Pravartak

service

Tutorial Checklist

1 37:56 Download and install MySQL Community Server and MySQL Workbench from the provided link.

2 47:09 Access the practice labs in the course platform to run SQL queries in a virtual environment.

3 59:02 Create a database using the command: CREATE DATABASE database_name;

4 01:07:14 Execute the query by clicking the lightning bolt icon in MySQL Workbench.

5 01:10:45 Select the database by double-clicking it or using the USE database_name; command.

6 01:13:27 Import data into a table using the 'Table Data Import Wizard'.

7 01:30:29 Write SELECT queries to retrieve data, e.g., SELECT * FROM table_name;

8 01:35:27 Use LIMIT to restrict the number of rows returned.

9 01:37:09 Use ORDER BY to sort data, with DESC for descending order.

10 01:42:17 Use WHERE to filter data based on conditions.

11 01:51:36 Use IN operator for multiple conditions on the same column.

12 01:55:21 Use BETWEEN for range conditions.

13 01:59:21 Use LIKE for pattern matching with '%' and '_' wildcards.

14 02:12:26 Use aggregate functions like SUM, AVG, MIN, MAX, COUNT.

15 02:25:29 Use GROUP BY to group rows and apply aggregate functions.

16 02:53:16 Use HAVING to filter groups based on aggregate conditions.

17 03:25:09 Create tables using CREATE TABLE command.

18 03:29:37 Use UNION to combine results and remove duplicates.

💡 Key Takeaways

💡

SQL's Critical Role

Establishes SQL as a fundamental skill for data-related careers.