Design and Analysis of Experiments (DoE) (Accredited)

🎓 Mastering the Art of Experimentation: Design and Analysis of Experiments (DoE) Using Minitab

Course Overview:

The world of statistical analysis is vast and complex, but at its core lies a methodical and powerful tool known as Design of Experiments (DoE). This course, Design and Analysis of Experiments (DoE) using Minitab: Basics, Plackett-Burman, Full/Fractional Factorial, Response Surface (CCD) Design, is crafted to demystify the process of DoE, making it accessible to novices and insightful for seasoned professionals alike.

What You'll Learn:

📚 Basics of Design of Experiments:

• Grasp fundamental concepts like factorial designs, partial factorial designs, and their real-world applications through engaging examples such as coffee tasting and catapult experiments.
• Understand key terms: Blocking, Analysis of Covariance (ANCOVA), Replication, Confounding, and Design Resolutions.

📊 Statistical Foundations:

• Dive into the essentials of ANOVA and Regression. These foundational statistical tools are critical for interpreting DoE results and will be reviewed to ensure a solid understanding.

🔬 Screening, Modelling & Optimizing:

• Learn to Screen with the Plackett-Burman Design to pinpoint key factors affecting your process.
• Master Modelling using Full Factorial and Fractional Factorial Designs, as well as specialized techniques for Hard to Change Factors like Split Plot Designs.
• Discover how to Optimize your processes through Central Composite Design (CCD) for robust and efficient outcomes.

Course Structure:

This course is meticulously structured to guide you from the basics to more complex concepts of DoE:

1. Introduction to DoE Basics:

   • Learn the vocabulary of DoE.
   • Coffee tasting and catapult experiments will illustrate key principles.
   • Blocking, ANCOVA, Replication, Confounding, and Design Resolutions explained.

2. ANOVA & Regression Fundamentals:

   • A recap of ANOVA and Regression to ensure a common ground for interpreting experiment data.

3. Advanced DoE Techniques:

   • Plackett-Burman Design for efficient screening.
   • Full Factorial, Fractional Factorial Designs, and Split Plot Designs for robust modelling.
   • Central Composite Design (CCD) for process optimization.

Your Learning Path:

• Engaging Video Lectures: Gain insights through clear and concise instructional videos that cover all course topics.
• Informative Readings: Enhance your understanding with supplementary reading materials provided.
• Real-World Case Studies: Apply what you've learned to real-world scenarios, ensuring practical knowledge.
• Quizzes & Assessments: Regular quizzes and assessments help solidify your learning and track your progress.

Why Take This Course?

• No Prior Knowledge Required: A beginner-friendly approach to complex concepts in DoE.
• Interactive Learning Experience: Engage with content that's both informative and easy to follow.
• Comprehensive Understanding: Develop a deep understanding of the principles and applications of DoE.
• Expert Guidance: Learn from Sandeep Kumar, an expert instructor at Quality Gurus Inc., who brings years of experience in statistical analysis.

Embark on your journey to mastering the Design of Experiments with Minitab. This course is your gateway to unlocking the potential of your data and driving significant improvements across various sectors. Enroll now to transform your approach to problem-solving and decision-making! 🚀🔬✨