Design and Analysis of Experiments (DoE) (Accredited)
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- The lowest price of Design and Analysis of Experiments (DoE) (Accredited) was obtained on June 13, 2025 11:03 pm.
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Design and Analysis of Experiments (DoE) (Accredited)
$84.99
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Design and Analysis of Experiments (DoE) (Accredited)
★★★★★
$84.99
in stock
Udemy.com
as of June 13, 2025 11:03 pm
Design of Experiments using Minitab: Basics, Fractional Factorial, Response Surface (CCD) - Get 5 PMI PDUs/PDCs/CPDs

Created by:
Sandeep Kumar, Quality Gurus Inc.
Experienced Quality Director • Six Sigma Coach • Consultant
Experienced Quality Director • Six Sigma Coach • Consultant
Rating:4.7 (293reviews)
1721students enrolled
What Will I Learn?
- Master the fundamentals of the Design of Experiments (DoE) using simple and understandable examples, ensuring a solid grasp of key concepts.
- Learn to design and analyze experiments systematically to study the relationship between various inputs (factors) and key outputs (responses).
- Perform screening using Plackett-Burman designs to identify significant factors with fewer experimental runs.
- Understand and implement modeling using full factorial, fractional factorial, and split plot designs to explore the effects of multiple factors.
- Optimize processes using Central Composite Design (CCD) for fine-tuning and achieving optimal performance.
- Gain a quick refresher on ANOVA and Regression Analysis to interpret the results of your experiments accurately and confidently.
- Develop a clear understanding of important DoE concepts such as blocking, analysis of covariance, replication, confounding, and design resolutions.
- Apply DoE techniques through practical examples, such as coffee tasting and catapult experiments, to reinforce learning and make complex concepts more relatable
- Increase your career prospects by mastering DoE, a critical component in quality improvement, process optimization, and research and development.
- Gain recognition from peers and management for your expertise in designing and analyzing experiments, making you a valuable asset in any organization.
Requirements
- Basic understanding of statistics is preferred, however we will cover the concepts required to understand DoE and interpret the alaysis results.
Target audience
- Quality Engineers
- Quality Managers
- All Engineers
- Performance Improvement Professionals
- Any one who wants to understand the behaviour of a complex process to achieve desired outcome
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