Global Certificate in Statistical Quality Engineering: Advanced Quality Concepts
-- viewing nowThe Global Certificate in Statistical Quality Engineering: Advanced Quality Concepts is a comprehensive course designed to equip learners with the essential skills needed for career advancement in quality engineering. This course focuses on the importance of statistical methods in ensuring product and process quality, reliability, and efficiency in various industries.
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Course Details
• Advanced Statistical Process Control (SPC): Monitoring,
Control Charts, Capability Analysis
• Design of Experiments (DoE): Full Factorial, Fractional
Factorial, Response Surface Methodology (RSM)
• Measurement System Analysis (MSA): Gage R&R,
Bias, Linearity, Stability
• Multi-Vari Studies: Identifying Sources of Variation
• Advanced Six Sigma Tools: Pareto Analysis, FMEA,
Control Plans, Value Stream Mapping
• Reliability Engineering: Failure Modes and Effects
Analysis (FMEA), Weibull Analysis, Reliability Prediction
• Quality Costs: Cost of Quality (COQ), Cost of Poor
Quality (COPQ), Cost-Benefit Analysis
• Quality Tools for Lean Manufacturing: 5S, Visual
Management, Standardized Work, Root Cause
Analysis
• Advanced Statistical Quality Control Techniques:
Hidden Markov Models, Bayesian Methods, Machine
Learning in Quality Control
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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