Design and Analysis of Experiments (DoE) (Accredited) — 92% OFF Discount Coupon

Design of Experiments using Minitab: Basics, Fractional Factorial, Response Surface (CCD) - Get 5 PMI PDUs/PDCs/CPDs

★4.6 out of 5
2,385 students
Created by Sandeep Kumar, ­ Quality Gurus Inc.
English
Updated May 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Design and Analysis of Experiments (DoE) (Accredited) before you enroll:

•Course Name: Design and Analysis of Experiments (DoE) (Accredited)
•Platform: Udemy
•Instructor: Sandeep Kumar, ­ Quality Gurus Inc.
•Coupon Last Verified: May 4, 2026
•Level: All Levels
•Topic: Business
•Subtopic: Design of Experiments (DOE)
•Total Time: 5h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: 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.
•Requirements: Basic understanding of statistics is preferred, however we will cover the concepts required to understand DoE and interpret the alaysis results.
•Current Price: $9.99 (was $119.99). You save $110.00 with 92% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Design and Analysis of Experiments (DoE) (Accredited), you'll have these practical skills:

✓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.

What You Need Before Starting

Before enrolling in Design and Analysis of Experiments (DoE) (Accredited), make sure you have:

•Basic understanding of statistics is preferred, however we will cover the concepts required to understand DoE and interpret the alaysis results.

About This Udemy Course

The following is the full official course description for Design and Analysis of Experiments (DoE) (Accredited) as published on Udemy by instructor Sandeep Kumar, ­ Quality Gurus Inc.:

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.

Is the Design and Analysis of Experiments (DoE) (Accredited) Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 4, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Design and Analysis of Experiments (DoE) (Accredited) is a high-value resource for learners seeking to build skills inBusiness. Taught by Sandeep Kumar, ­ Quality Gurus Inc. on Udemy, the 5h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 92%, from $119.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 92% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 2,385 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Design and Analysis of Experiments (DoE) (Accredited):

  • The depth of Business coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Design and Analysis of Experiments (DoE) (Accredited) Course holds an aggregate rating of 4.6 out of 5 based on 2,385 student reviews on Udemy.

4.6
★★★★★
2,385 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Sandeep Kumar, ­ Quality Gurus Inc., the instructor responsible for creating and maintaining Design and Analysis of Experiments (DoE) (Accredited) on Udemy.

Design and Analysis of Experiments (DoE) (Accredited) is taught by Sandeep Kumar, ­ Quality Gurus Inc., a Udemy instructor specializing in Business. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Sandeep Kumar, ­ Quality Gurus Inc.
•Subject Area: Business
•Teaching Approach: Practical, project-based instruction focused on real-world application of Business skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Design and Analysis of Experiments (DoE) (Accredited), its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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