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Mastering Design of Experiments (DoE): From Concept to Confident Implementation

Mastering Design of Experiments (DoE): From Concept to Confident Implementation
Language:  English
Length: 180 min
2 Courses
Courses Included in this Bundle
Design of Experiment: Step-by-Step Approach for Easy Implementation

Design of Experiment: Step-by-Step Approach for Easy Implementation

By Rogier van Duin Recorded on: 26 Sep 24
Design of Experiment: Easy Implementation in Practice

Design of Experiment: Easy Implementation in Practice

By Rogier van Duin Recorded on: 20 Nov 24

Package Includes

6 months access to Course Recording, Presentation Slides

Bundle Description

Why run dozens of isolated trials when you can learn to extract maximum insight from fewer experiments? In this powerful course bundle, you'll gain a complete, easy-to-follow roadmap to implement Design of Experiments (DoE) in your day-to-day development work without getting lost in statistical complexity.


Led by expert Rogier van Duin, this combined learning experience gives you everything you need to confidently design, run, and interpret experiments that accelerate development, optimize performance, and reduce costs. Whether you're testing 4, 7, or even 11+ variables, you'll learn how to extract actionable data while cutting down the number of trials.

  • Implement DOE successfully through practical frameworks & smart design choices (full, fractional, Taguchi).
  • Identify optimum conditions and key variable interactions faster.
  • Extract valuable insights from existing experimental data, not just new trials.
Beginner
Level
Why should you view this bundle ?

  1. Understand the limits of traditional methods and why DoE is more efficient.

  2. Confidently plan, design, conduct, and analyze experiments step-by-step.

  3. Choose the right type of design: full factorial, fractional factorial, or Taguchi, based on your development goals.

  4. Use simple calculations to analyze your results, identify main effects, and determine optimal conditions.

  5. Apply Analysis of Variance (ANOVA) to uncover sources of variability.

  6. Leverage Signal-to-Noise Ratios to build more robust products or processes.

This bundle is meant for ?

  • This course is built for:

    • Formulators, R&D scientists, and engineers in polymers, coatings, adhesives, cosmetics, paints, chemicals, and material science.
    • Professionals involved in product development, optimization, or process improvement.
    • Anyone looking to make faster, data-driven decisions without relying on statistical departments.
  • This course is suitable for beginner level proficiency
    Beginner
What you can achieve with this bundle

  1. How do I reduce the number of experiments without compromising on data quality?

  2. I suspect two ingredients interact and affect performance, but how do I prove it?

  3. My process is unstable. How can I identify the source of variation?

  4. Can I make DoE work in small teams without heavy statistics or software?

Complete your Learning with this bundle

Course 1

Design of Experiment: Step-by-Step Approach for Easy Implementation

Design of Experiment: Step-by-Step Approach for Easy Implementation

By Rogier van Duin
See Course Summary

Accelerate your developments by reviewing how you can test simultaneously
4, 7, 11...variables with a limited number of trials for ingredient selection, interaction study, formulation, application...

Leading expert Rogier van Duin will discuss when to go for full, fractional or Taguchi designs in easy-to-understand terms. 

Course Outline

  • Module 01:

    Limits of traditional R&D practices (trial-and-error, one-factor-at-the-time...)

  • Module 02:

    Design of experiments

    • Best methods
    • Setting up simple experimental designs
    • Analyzing results with simple calculations
  • Module 03:

    Determining the main effects, optimum condition, and performance levels

  • Module 04:

    Standard steps in experimental planning

  • Module 05:

    Analysis of interactions and modification of the optimal conditions

  • Module 06:

    The Taguchi approach

  • Module 07:

    Retrieving information from earlier experiments

Course 2

Design of Experiment: Easy Implementation in Practice

Design of Experiment: Easy Implementation in Practice

By Rogier van Duin
See Course Summary

Accelerate your developments with an efficient implementation of Design of Experiment by reviewing how to proceed step-by-step with the support of two practical cases.

Our expert Rogier Van Duin will explain which best parameters & designs (full, fractional & Taguchi) are the most suited to your day-to-day developments.

Course Outline

  • Module 01:

    What is the role of Analysis of Variance in Experimental Designs?

  • Module 02:

    Understanding Signal to Noise Ratios to make robust product and/or process

  • Module 03:

    Planning, Designing, Conducting, and Analyzing Design of Experiments step by step

  • Module 04:

    Practical example on developing a binder

  • Module 05:

    Practical example on developing a paint system

Mastering Design of Experiments (DoE): From Concept to Confident Implementation
€440
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€550 worth courses if bought individually . You are saving €110 on this bundle

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