| File Name: | Database Testing Made Easy: SQL for QA and Manual Testers |
| Content Source: | https://www.udemy.com/course/database-testing-made-easy-sql-for-qa-and-manual-testers/ |
| Genre / Category: | Programming |
| File Size : | 799.5 MB |
| Publisher: | Prathmesh C Kapse |
| Updated and Published: | January 22, 2026 |
Database testing is a critical skill for software testers, QA professionals, and anyone working with data-driven applications. In real projects, a large part of testing happens behind the scenes — directly in the database. This course is designed to help you understand database testing from scratch and confidently work with SQL queries in real-world testing scenarios.
Database Testing Made Easy: SQL for QA & Manual Testers is a beginner-friendly course that explains database concepts in a simple, step-by-step manner, without assuming any prior knowledge of SQL or databases. You will learn how data is stored in tables, how to retrieve and validate data using SQL queries, and how testers use databases to verify application behavior.
In this course, you will work with essential SQL commands such as SELECT, INSERT, UPDATE, and DELETE, along with important database definition commands like CREATE, ALTER, DROP, and TRUNCATE. You will also learn how to use WHERE conditions, joins, aggregate functions, GROUP BY, and HAVING to validate real application data.
Special focus is given to database testing scenarios, including CRUD operation testing, data validation between UI and database, checking data integrity, and identifying common issues testers face in projects. Practical examples are included throughout the course to help you understand how SQL is used in day-to-day QA work and interviews.
By the end of this course, you will be able to write SQL queries confidently, understand database structures, and apply database testing concepts in real projects. This course is ideal for manual testers, QA engineers, beginners in software testing, and anyone preparing for database testing interviews.
No prior programming or database experience is required — just a willingness to learn and practice.
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