Data-Driven Testing with Selenium, Excel, and CSV

Hardcoding test inputs directly into your automation scripts makes them fragile, difficult to maintain, and impossible to scale. Transitioning to data-driven testing is the industry-standard way to run a single test script against hundreds of different data scenarios. This text-based course guides you through the process of building a flexible automation framework using Selenium WebDriver, Java, and external data sources. You will start by mastering foundational testing concepts, understanding how data-driven frameworks function, and setting up your development environment. Next, you will read through step-by-step written explanations on how to parse CSV files and read complex Excel spreadsheets using Apache POI. Finally, you will learn to integrate these data sources into modern testing frameworks, incorporating modern practices like clean test configuration files and robust error handling for missing data. What you will learn: Understand the architecture and benefits of data-driven testing frameworks; Read and parse CSV files efficiently using standard library tools; Configure Apache POI to extract dynamic test data from Excel spreadsheets; Map external data sources to Selenium WebDriver test scripts; Organize test suites using modern test runners and clean configuration practices; Implement robust exception handling for missing, malformed, or empty data rows. This course is designed for beginner QA engineers, manual testers transitioning to automation, and software developers who want to write clean, maintainable automation scripts. No prior framework design experience is required, though a basic understanding of programming fundamentals and Selenium WebDriver is helpful. Start reading today to take control of your test data and scale your automation efforts.