Free Coupon Code The Complete SQL Bootcamp: A Step-by-Step Approach 100% OFF

Udemy Free coupon code for The Complete SQL Bootcamp: A Step-by-Step Approach course taught by Bantu Ngxola , xxjordan Code, which has 1,826 students and is rated 4.8 out of 51 votes. This course is about 4 hour(s) in English and was updated on August 03, 2025. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Master SQL with this hands-on master class (SQL, PostgreSQL, MySQL,...)

Brief Introduction:

The Complete SQL Bootcamp is a hands-on course designed to take you from the basics to a professional level. This comprehensive course will explore the principles of relational databases and the robust SQL programming language. It will equip developers with vital SQL skills to write queries for single and multiple tables, manipulate data within those tables, and create database objects.

Course Overview:

This step-by-step SQL course is designed to improve your SQL skills and is ideal for students who want to become proficient in SQL. Led by an experienced SQL Developer Instructor, this course offers a well-organized and engaging learning experience for those who want to master SQL.

Learning Objectives:

By the end of the course, you will learn how to:

• Retrieve Data using basic SQL SELECT Statements

• Restrict and Sort Data

• Use Aggregate Functions

• Apply Conditional Expressions

• Generate Reports with Aggregated Data Using Group Functions

• Display Data from Multiple Tables Using Joins

• Utilize Window Functions

• Work with Common Table Expressions (CTEs) using the WITH clause

• Manage Data using Subqueries and Advanced Queries

• Manage Tables using DML Statements

• Create Sequences, Views, and Schema Objects

  
  

  
  

Who is this course for?

This course is designed for learners at all levels, from beginners looking for a solid foundation to SQL professionals striving for mastery. No prior knowledge is necessary. It is suitable for users of any database, including Oracle, MySQL, Microsoft SQL Server, Amazon Redshift, and PostgreSQL.