Design of Experiments for Product, Process & Quality Manager (Udemy.com)
Factorial Designs | Fractional Factorial Designs | Taguchi Designs - Lean Six Sigma Black Belt Level
Created by: Dr. Nilakantasrinivasan J
Last updated February 2026
What you will learn
- Types & Phases of Structured Experiments (Design of Experiments)
- Terms in DoE such as Factors, Levels, Runs, Blocks, Center Points, Repetitions, Replications, etc
- Plan, Set up, Perform, Analyze and Interpret the results of DOEs
- Factorial Designs & Fractional Factorial Designs
- Taguchi Designs
How it compares
Against the other 1,210 rated Udemy courses in Business on CourseDuck:
- Rating3.9 out of 5higher than 1% of them
- Reviews193#949 of 1,211 by number of reviews
- Length2.1 hoursshorter than 62% of them
- Last updatedFebruary 2026more recently than 60% of them
Course Description
Structured Experimentation or Design of Experiment (DOE) helps Product Engineers to develop and refine designs. It is simply not possible to develop optimal designs that deliver right product performance without understanding the relationship between dependent and independent factors (& within independent factors). Unstructured experimentation consumes indefinite resources and time, that no organizations have.
This is true for both Engineering Product Managers and Service Product Managers.
Similarly, both Engineering and Service Process Managers cannot optimize process parameters or design products without conducting structured experiments.
Quality Managers have to constantly improve the quality of product, its reliability and that cannot happen without improvising design in a structured manner.
As a part of DMAIC or DFSS improvement projects, Lean Six Sigma Black Belts & Lean Six Sigma Green Belts are expected to find ways to improve the process and optimize it and it would not be possible with knowledge of structured experimentation (Design of Experiments - DOE)
This course is going to help Product and Process Engineering Managers from both Service & Engineering Sectors to learn DOE from scratch.
Practical Knowledge of DOE is non-negotiable for any Product, Process, Quality Managers & Lean Six Sigma Black Belts.
Target Audience:
Product Managers
Process Managers
Quality Managers
Lean Six Sigma Black Belts
What you will accomplish after completing this course:
After completing the course you will be able to plan, set up, perform and analyze Full Factorial, Fractional Factorial and Taguchi DOE
What is Covered:
Structured Experiments
Types of Experiments
Phases of Experiments
Terms used in DOE
Full Factorial Experiment (Performing & Analyzing)
Fractional Factorial Experiment (Performing & Analyzing)
Taguchi Designs (Performing & Analyzing)
Instructor Details
- 3.9 Rating
193 Reviews
Dr. Nilakantasrinivasan J
Neil is the author of 3 Books - "The Client Centric Protagonist", "The Master Book for Lean Six Sigma Green Belt Certification - Comprehensive Study Guide for Certification Exams & Job Interviews" & "The Little Book on Customer Experience".
Being a Certified Six Sigma Master Black Belt, Neil has led several change initiatives & projects with approved financial benefits of over $20MN, of which $4Mn was executed by him personally. He has demonstrated results in unconventional areas such as sales, HR, technology, risk & compliance, program office, administration & security, procurement, etc.
He has led transformation programs of Global Banks & Large Manufacturing firms.
He is the founder of Canopus Business Management Group.
He is passionate about coaching executives on execution orientation and educating young professionals & students on Business Growth, Customer Centricity, Business Transformation, Lean Six Sigma.
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Reviews
By Sepideh Afsari on 8/6/2026
Key terms and concepts are not explained in enough detail, and there are no lecture-specific practice sets to help reinforce what is taught. Adding dedicated exercises for each lecture would greatly improve the learning experience.
By Cameron Johnston on 2/8/2023
The course is good for a general overview of DoE. I did find that terms are often jumbled up or used interchangeably, which can get a little confusing. Aside from that it's well structured and well presented.
By Dominique M on 9/6/2022
It was well explained. However, few topics could have been explained in more detail. For example the coding values, the Screening design, the Plackett-Burman designs and so on. And importantly, to decide how many repetitions or replicates have to be performed to obtain statistically relevant data. At the end of the course, it seemed that he didn´t want to take it too seriously, otherwise we would have received the data set for Taguchi and it would have included sufficient data to achieve the desired degree of Freedom. Overall, I liked to course, but it could have been a little more detailed.
By CARLOS MACÍAS GÁLLEGO on 11/30/2020
No estoy seguro. Pronunciación y subtítulos aparte, los conceptos están en general poco desarrolados. El profesor asume que tenemos acceso a minitab que es un software que cuesta 1500 €/año. Esto se podría haber desarrollado en excel.
By Mohamed Saad Sheriff on 6/18/2020
The "course" is only a power point presentation mainly. No theory about DOE is covered from the basics. The examples should have been explained in detail like a teacher would. Perhaps using excel to explain the concepts and methods would be more useful to learning than directly using software like Minitab which does all the work in the background and is not understandable by people trying to learn.
By Nikhil Nan on 6/4/2020
A quick revision of Design of Experiments concepts. The course helps to understand DOE on a fair good level, but it does not go in to larger details. I strongly recommend this course for who want to learn more about DOEs as a good starting point.
By Angela Isibor on 6/2/2020
This course touched on DOE concepts in a very simple yet practical and detailed way. The instructor clearly displayed subject matter knowledge. As a young professional, I think this is a good performance booster for my career path.
By Antonius Wenny Soesanto on 5/12/2020
It would be a lot better if: 1. Included the "Response Optimizer" step in this course., so we know a full cycle of DOE. 2. Change the slide format to enable load plenty of more information rather than just empty.
By Rajni Pathak on 4/18/2020
Good work done by the Instructor. DOE is quite complex concept, the course material is designed to gain quick understanding and effective way, All Six Sigma enthusiast must go through this material.
By Tim Nitsche on 8/25/2019
1. Review after 10% really good introduction until now Overview seemed reasonable 2. Review after 50% really good structure and explanation of DoE love the splitting of the theory
Quality Score
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Overall Score : 78 / 100











