Elevate Your QA Skills with Data-Driven Quality Practices

Enroll in this Free Udemy Course on data-driven QA and elevate your software quality skills today!

In today’s fast-paced software development landscape, quality assurance is no longer just a phase—it’s a continuous commitment supported by data. “Data-Driven Quality Assurance & Quality Control: Metrics/KPI” provides a comprehensive overview of crucial metrics that shape effective QA and QC practices. Designed for both aspiring and experienced professionals, this course will empower you to measure, improve, and clearly communicate software quality metrics in a way that resonates with all stakeholders.

You’ll delve into critical QA and QC metrics and learn how to apply them effectively in your daily workflow. From understanding automation and manual testing KPIs to analyzing defect trends, this course offers practical insights into how you can monitor the effectiveness of your testing processes. The focus is on building a framework that not only helps you report quality insights but also instills a culture of data-driven decision-making within your team.

Expect to come away with actionable tools, including KPI templates and dashboards, that you can implement immediately in your projects. Whether you’re a QA engineer trying to highlight the impact of your work or a manager aiming to elevate team performance, this course equips you with the knowledge and skills to transform quality assurance into a measurable and impactful discipline.

What you will learn:

  • Monitoring and analyzing the progress of test case execution
  • Creating actionable insights from defect trends
  • Identifying gaps in test scenarios using metrics

Course Content:

  • Sections: 5
  • Lectures: 15
  • Duration: 4h 51m

Requirements:

  • Basic familiarity with how software testing works
  • Knowledge of manual or automated quality assurance methods

Who is it for?

  • Manual QA professionals aiming to showcase their impact through data
  • Automation testers who need to quantify framework efficiency and consistency
  • QA supervisors and team leads looking to apply measurable quality standards

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