Design and Analysis of Experiments (DoE) (Accredited) (Udemy.com)
Design of Experiments using Minitab: Basics, Fractional Factorial, Response Surface (CCD) - Get 5 PMI PDUs/PDCs/CPDs
Created by: Sandeep Kumar
Last updated July 2024
What you will 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.
How it compares
Against the other 1,210 rated Udemy courses in Business on CourseDuck:
- Rating4.6 out of 5higher than 74% of them
- Reviews504#652 of 1,211 by number of reviews
- Length5.1 hourslonger than 71% of them
- Last updatedJuly 2024earlier than 71% of them
Course Description
Note: Students who complete this course can apply for the certification exam by Quality Gurus Inc. and achieve the Verified Certification from Quality Gurus Inc. It is optional, and there is no separate fee for it. Quality Gurus Inc. is the Authorized Training Partner (ATP # 6034) of the Project Management Institute (PMI®) and the official Recertification Partner of the Society for Human Resource Management (SHRM®)
The verified certification from Quality Gurus Inc. provides you with 5.0 pre-approved PMI PDUs and 5.0 SHRM PDCs at no additional cost to you.
This course is accredited by The CPD Group (UK). You are eligible to claim 5.0 CPDs for this course (Accreditation# 1016190)
The design of experiments is a systematic approach of studying the relationship between various inputs (factors) on the key output (response).
This is the basics to the intermediate level course. In this course, we start with a basic understanding of the Design of Experiments (DoE) process by performing manual calculations on simpler processes.
Because this course will be taken by students from various sectors, we have kept the case studies simpler by using examples such as coffee tasting and catapult. These simple examples will help students focus on the concepts rather than the specific case studies.
This course assumes that you do not have any prior knowledge of the Design of Experiments, but you do have a basic understanding of statistics principles, such as ANOVA and Regression. However, we will review these two topics (ANOVA and Regression) to provide adequate knowledge to interpret the DoE results.
The course consists of video lectures, readings, and quizzes that help build upon each other so that by the end of the course, you have gained a firm grasp of the topics covered.
Topics Covered:
Section 1. Basics of Design of Experiments: We will start this course by understanding the definitions of common terms used in DoE. You will clearly understand factorial and partial factorial designs, as these will be explained using a coffee-tasting example. In addition, we will also use the catapult experiment to understand the variation in processes.
Other concepts that are covered in this section include: Blocking, Analysis of Covariance, Replication, Confounding and Design Resolutions.
This section will set a strong foundation for you to understand foundational concepts.
Section 2. ANOVA and Regression: Even though you are expected to have some basic understanding of these concepts, we will still cover these two topics to provide you with sufficient knowledge to interpret the results of an experiment.
Section 3. Screening, Modelling and Optimizing: This section will cover three main milestones in any designed experiment. For screening, we will use Plackett-Burman Design to reduce the number of factors studied. In modelling, we will use full factorial, fractional factorial and Split Plot Designs (for hard-to-change factors). In the last, we will optimize the process, and for that, we will use Central Composite Design (CCD).
Continuous Professional Development (CPD) Units:
For the ASQ® Recertification Units (RUs), we suggest 0.50 RUs under the Professional Development > Continuing Education category.
For PMI® 5.0, preapproved PDUs can be provided after completing our optional/free certification exam. The detailed steps for taking Quality Gurus Inc. certification with preapproved PDUs are provided in the courses.
Instructor Details
- 4.6 Rating
504 Reviews
Sandeep Kumar
I am Sandeep Kumar, founder of Quality Gurus Inc. and creator of multiple quality management, Six Sigma, Lean, auditing, and ASQ exam preparation courses. Over the years, I have helped more than 300,000 professionals build practical quality skills and prepare for professional certifications. This community is designed for quality professionals, Six Sigma practitioners, auditors, engineers, supervisors, managers, and anyone serious about career growth in quality. Inside the community, members can learn practical tools, ask questions, discuss real workplace challenges, prepare for ASQ exams, and connect with others on the same professional journey. My teaching style is simple, practical, and focused on helping you understand concepts clearly so you can apply them with confidence. Whether you are preparing for CQE, CQA, CMQ/OE, CSSGB, CSSBB, CQIA, CCQM, CSQP or another quality-related certification, this community will help you stay focused, motivated, and supported.
More courses by Sandeep Kumar
Six Sigma: Certified Lean Six Sigma White Belt (Accredited) (2025)
4.7 (16,282 Reviews)
Provider: Udemy
Time: 1.9h
$14.99
Certified Lean Six Sigma Yellow Belt Training (Accredited) (2025)
4.7 (9,602 Reviews)
Provider: Udemy
Time: 7.3h
$18.99
Quality Management for Business Excellence (Accredited) (2025)
4.6 (7,614 Reviews)
Provider: Udemy
Time: 4h
$14.99
QMS Auditor / Lead Auditor Course (Accredited) (2024)
4.6 (6,940 Reviews)
Provider: Udemy
Time: 6.1h
$15.99
Enterprise Risk Management (Accredited) (2024)
4.4 (6,760 Reviews)
Provider: Udemy
Time: 2.2h
$69.99
Statistics for Data Analysis Using Excel (Accredited) (2025)
4.6 (6,522 Reviews)
Provider: Udemy
Time: 11.5h
$15.99
More Business courses
Hiring and Interview Skills to Recruit Top Talent as Manager (2026)
5.0 (267 Reviews)
Provider: Udemy
Time: 5.9h
$10.99
Directing the Actor: A USC course with Nina Foch (2016)
4.9 (1,379 Reviews)
Provider: Udemy
Time: 4h
$13.99
Lean Management: Just-In-Time JIT Certification (Accredited) (2026)
4.9 (1,219 Reviews)
Provider: Udemy
Time: 2.2h
$13.99
LinkedIn Marketing And Personal Branding Masterclass (2026)
4.9 (137 Reviews)
Provider: Udemy
Time: 1.4h
$19.99
Personal Branding Mastery: Elevate Your Career and Business (2026)
4.9 (134 Reviews)
Provider: Udemy
Time: 3.9h
$19.99
Reviews
By Udemy User on 3/17/2026
super cooool video, it covers almost every thing if not everything. like any journey to expertise you have to learn more and read extensively on most of the things he touched on to really appreciate it.
By Eslam Ahmed Ibrahim Gouda on 8/24/2025
It was very good course with basic understanding in Design and Analysis of Experiments (DoE). It really helped me a lot in understanding concepts. Thank you so much for the wonderful course
By Abinash Nayak on 3/10/2025
I am a early stage researcher, I wanted a practical demo of minitab as the course goes on, which is why I liked it the most and it was up to the point what I needed.
By Eduardo Ruiz on 1/6/2025
Hasta ahorita, considero buena la eleccion. Excelente material de trabajo y explicacion.
By Yathziry Reyes on 9/6/2023
Very Good Course! Just a recommendation for the website, maybe an option to see the videos with the face hidden, because sometimes I try to simulate that I'm working or in a meeting, but the teacher's face is shown, and I get caught
By UMA SHANKAR CHOCKALINGAM on 7/21/2023
This is really a good session. The lecturer is well experienced in this subject and the way of teaching along with Minitab gives us more confidence of performing what we learnt. Looking for more insights on how we read and understand the equation or the surface plots from a process and the process parameters perspective.
By Ryan Botzler on 3/10/2023
I was having trouble with Minitab backward compatibility issues. I could only install version 19, so I could not load in the resources. For the first two sections, I could easily re-create the datasets, but Section 3 had sets that were too large to rebuild based on the video. Content-wise, though, the course was excellent.
By Murthy Srikanth C S on 2/2/2023
Good start to DOE, had the strong basic understanding would be better if slides for Minitab details discussed in course are given as attachment for future reference. As iam not able to take the screen shot during the course, due to restrictions. Would highly recommend this course.
By DR.CHARU SINHA on 12/6/2022
Sir, your lessons always include a wealth of information. Your clear and explicative style of instruction has been quite helpful to other students and me. Thank you very much for teaching me. Thank you for creating such excellent training.
By Donig Fermanian on 11/19/2022
This course is straightforward, and at the same time deep going. I find the videos and structure are very reasonable, I have learnt a lot. Its Amazing how you are teaching us the statistics using software like Minitab.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 92 / 100












