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Data-Driven Quality Assurance & Quality Control: Metrics/KPI
Master quality metrics and KPIs for data-driven testing and quality control
🎯 Ce que vous allez apprendre et maîtriser
✓
Calculate and interpret defect density and escape rates
✓
Distinguish between automation and manual testing KPIs
✓
Build quality dashboards using data-driven metrics
✓
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
📖 Aperçu du cours et programme
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.
📚 Structure du programme de cours
6 modules principaux📋 Prérequis et compétences requises
- None
💼 Métiers et débouchés professionnels
QA Tester
Quality Assurance Analyst
Test Automation Engineer
Foire aux questions (FAQ)
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Durée :
5 total hours
Certification :
Completion certificate
Langue :
English
Formateur :
Andrii Piatakha