Masterclass Certificate in Data-Driven Testing Strategies
-- ViewingNowThe Masterclass Certificate in Data-Driven Testing Strategies is a comprehensive course that equips learners with essential skills for career advancement in the tech industry. This course emphasizes the importance of data-driven testing strategies, which are increasingly in demand as businesses rely more on data to make informed decisions.
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Here are the essential units for a Masterclass Certificate in Data-Driven Testing Strategies:
• Introduction to Data-Driven Testing: Understanding the basics of data-driven testing, its benefits, and how it differs from traditional testing methods.
• Data Preparation: Techniques for preparing data sets for testing, including data cleaning, formatting, and validation.
• Test Data Management: Strategies for managing test data, including data security, privacy, and access control.
• Automated Data-Driven Testing: Best practices for automating data-driven tests, including selecting the right tools and frameworks, and writing effective test scripts.
• Data-Driven Test Design: Methodologies for designing data-driven tests, including equivalence partitioning, boundary value analysis, and decision table testing.
• Data-Driven Test Execution: Techniques for executing data-driven tests, including test scheduling, prioritization, and parallel execution.
• Test Reporting and Analysis: Approaches for reporting and analyzing data-driven test results, including test metrics, dashboards, and root cause analysis.
• Integration with Continuous Integration/Continuous Deployment (CI/CD): Techniques for integrating data-driven testing with CI/CD pipelines, including test automation in CI/CD, and test reporting in CI/CD.
• Advanced Data-Driven Testing Techniques: Advanced data-driven testing methods, including risk-based testing, exploratory testing, and model-based testing.
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