Course Description
Understanding how to plan, design, and analyze experiments is essential for any organization seeking to improve processes, enhance quality, and achieve reliable results.
This Design of Experiments (DoE) course provides a complete framework to help participants build data-driven decisions in product and process development.
The course introduces statistical principles behind experimental design and teaches practical tools to identify key factors, optimize variables, and interpret results confidently.
Participants will learn how to minimize variability, save time, and gain scientific understanding of process behavior — using real-world examples from the pharmaceutical, food, and chemical industries.
By the end of this course, you will be able to:
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Understand the logic and methodology of factorial and fractional factorial designs.
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Plan structured experiments to study multiple parameters simultaneously.
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Analyze interactions between variables and interpret ANOVA outputs.
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Optimize product or process performance with data-driven insights.
Who should attend ?
Quality Assurance & Quality Control Professionals
R&D Scientists and Formulation Specialists
Process Engineers and Validation Experts
Six Sigma and Continuous Improvement Practitioners
Production Supervisors and Managers
Regulatory and Technical Affairs Personnel
Number of Sessions :
2 sessions
SPEAKER
Dr. Akram Bashir
Branch Manager of Nawah Scientific and the formulation Lab.
Specifications for Design of Experiment (DoE)
| Attendance type | In-person/ Virtual or E- Learning |
| Minimum Experience | Zero |
| Number of Sessions | 2 |
| Accreditation | VALOR |
