SQL DDL & DML Masterclass: Create, Modify, and Manage Databa

SQL DDL & DML Masterclass: Create, Modify, and Manage Databa
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English (US) | Duration: 2 h | Size: 1.44 GB
In this course, you will learn how to use SQL DDL and DML commands to work with database structures and data in a practical, step-by-step way. This course is designed to help you build a strong foundation in SQL by understanding two of the most important areas of database management. First, you will learn
DDL (Data Definition Language)
, which is used to create and manage database objects such as tables, schemas, and other structural elements. You will see how commands like CREATE, ALTER, DROP, and TRUNCATE are used to build and modify database design. After that, you will move on to
DML (Data Manipulation Language)
, which is used to insert, update, and delete data inside those tables. You will learn how to use commands such as INSERT, UPDATE, and DELETE in real examples so you can understand how data is handled in everyday database tasks. The course focuses on practical learning, so you will not only memorize commands but also understand how and when to use them correctly. By the end of the course, you will be able to write SQL statements with more confidence, manage table structure, and work with records more efficiently. This course is ideal for beginners, students, aspiring data analysts, and anyone who wants to learn SQL in a clear and useful way. Whether you want to prepare for a job, improve your database skills, or strengthen your understanding of SQL, this course will help you move from basic concepts to practical application.
Understand the difference between DDL and DML in SQL.
Create database objects such as tables and schemas using DDL commands.
Modify existing structures using ALTER.
Remove database objects with DROP and TRUNCATE.
Insert, update, and delete records using DML commands.
Practice SQL through real-world examples and exercises.
Gain confidence in managing both database structure and data.
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