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Data-Driven Quality Assurance & Quality Control: Metrics/KPI
Master quality metrics and KPIs for data-driven testing and quality control
π― What You Will Learn & Master
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Calculate and interpret defect density and escape rates
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Distinguish between automation and manual testing KPIs
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Build quality dashboards using data-driven metrics
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Analyze quality trends over time using statistical methods
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Select appropriate metrics for different testing phases
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Implement quality measurement strategies aligned with business goals
π Course Overview & Syllabus Review
This course provides a practical deep-dive into QA and QC metrics, covering defect trend analysis, automation KPIs, and quality measurement strategies. Instructor Andrii Piatakha structures the content around real-world testing scenarios, explaining how to calculate and interpret key performance indicators for both manual and automated testing. The five-hour runtime is well-paced, balancing theoretical concepts with actionable examples that help you build a metric-driven quality framework.
π Structured Curriculum Breakdown
6 Core Modulesπ Prerequisites & Requirements
- None
πΌ Target Career & Job Roles
QA Tester
Quality Assurance Analyst
Test Automation Engineer
Frequently Asked Questions (FAQ)
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Duration:
5 total hours
Credential:
Completion certificate
Language:
English
Instructor:
Andrii Piatakha