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Statistical Quality Control Measurements

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  • Level:  Advanced
  • Prerequisite: 
  • Time to Complete: 2-3 Months 
  • Course Availability: 6 Months 
  • Videos (to date):   /  
  • Assessments:  
  • PPT Slides:  
  • Author: Eng. Walid Semaan

What's The Course About

  • Overview

    Quality Control equips learners with the statistical tools needed to monitor, evaluate, and improve process stability and performance.

    The course covers statistical process control for measures and attributes, control chart selection, Phase 1 and Phase 2 monitoring, process capability and performance analysis, and design of experiments, enabling participants to identify variation, assess process quality, and support continuous improvement decisions.

  • Topics Covered

    1. Quality control basics
    2. Statistical process control for measures
    3. Phase 1 and Phase 2 monitoring
    4. Statistical process control for attributes
    5. Control chart selection
    6. Multiple-phase process control
    7. Process capability analysis
    8. Design of experiments
Instructor

Eng. Walid Semaan

    Walid Semaan is an MIT-certified data scientist and AI business strategist with four verified certificates in Data Science and Machine Learning, Machine Learning with Python, Artificial Intelligence for Business Strategy, and Natural Language Processing. He is the founder and president of Matrix TRC’s Data Science and AI Academy, developed two extensive university programs in partnership with American University of Science and Technology and the Lebanese American University, where he co-leads the executive diploma in Data Science, Deep Learning, and AI Solutions in partnership with SAS.
    Walid holds degrees in engineering (ESIB), finance and marketing (ESCP), and an MBA from Paris-Dauphine–Sorbonne. He is the creator of the award-winning Triple One Analytics AI platform, recognized as Best Innovative ICT Project at the Arab Golden Chip Awards in 2011. With more than 100 international executive training missions and thousands of teaching hours across master’s programs and Ph.D. research.
     He has trained and advised leading institutions worldwide, including the Central Bank of Lebanon, PwC (Dubai), SCAD (Abu Dhabi), Smart Dubai, OXY Petroleum (Oman), Sanofi–Merck Group (Amsterdam), and the Ministry of Health (KSA), among many others. His passion lies in equipping professionals and organizations with advanced Data Science and AI tools to drive innovation and impact.