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Design and Analysis of Experiments (DoE).

A practical, accredited DoE course — from first principles through to Response Surface Methodology. Screening, modelling, and optimizing with Minitab, using memorable examples that make complex concepts click.

Full, fractional factorial & Plackett-Burman screening designs Central Composite Design (CCD) for response surface optimisation Blocking, confounding, design resolution & split-plot designs ANOVA and regression — everything needed to interpret DoE results Minitab demonstrations throughout — build and analyse in real software 5.0 PMI PDUs & 5.0 SHRM PDCs — double the typical course credit
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48
Lectures
5h 8m
Total Length
5.0
PMI PDUs
★ 4.6
Avg Rating
350K+
Students Trained
Bestseller & Highest Rated
$10$49.99
Full course access · Certificate + 5.0 PDUs included
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  • 48 lessons · 5h 8m of practical content with Minitab
  • 5.0 PMI PDUs · 5.0 SHRM PDCs on completion
  • CPD Accredited (UK) · Provider #784310
★★★★★★ 4.6 overall instructor rating · 350,000+ students trained across all Quality Gurus courses
CPD Group (UK) Accredited
Provider #784310 · Accreditation #1016190 · 5.0 CPDs
PMI Authorized Training Partner
ATP #6034 · 5.0 pre-approved PDUs
SHRM Recertification Partner
5.0 SHRM PDCs on completion
Bestseller · Highest Rated
★ 4.6 overall rating · 350,000+ students trained
48
Lessons
5h 8m
Content
3
Core Phases
5.0
PMI PDUs
★ 4.6
Avg Rating
350K+
Students Trained
The DoE Process

Five stages — from idea to optimal solution

Every DoE project follows a systematic progression. This course takes you through all five stages — giving you the tools to run a complete designed experiment from start to finish.

1
Planning
Define objectives, select factors and responses, choose levels, determine sample size, and plan randomisation.
Factors · Levels · Treatments
2
Screening
Use Plackett-Burman or fractional factorial designs to identify the vital few factors from a long initial list with fewer runs.
Plackett-Burman · Fractional Factorial
3
Modelling
Run full or fractional factorial designs on the significant factors. Build regression models and examine interactions in depth.
Full Factorial · Split Plot · ANOVA
4
Optimising
Apply Central Composite Design (CCD) to fit a quadratic surface and find the factor settings that achieve the target response.
CCD · Response Surface · Optimizer
5
Verification
Confirm the predicted optimum with confirmatory runs. Validate the model's predictions hold under real-world conditions.
Confirmation Runs · Model Validation
Design types covered

Every major DoE design — in one course

Full Factorial
All factor combinations
Study all main effects and every interaction — the gold standard when run count allows.
Fractional Factorial
Fewer runs, key insights
Sacrifice higher-order interactions to study more factors with significantly fewer experimental runs.
Plackett-Burman
Screening design
Screen up to N−1 factors in N runs. Identify the vital few before committing to a full design.
Split Plot
Hard-to-change factors
Handle factors that cannot be randomised between runs — such as oven temperature or machine setup.
CCD / RSM
Response surface optimisation
Fit a quadratic model using Central Composite Design to find the true optimum, not just the best tested point.
What you'll learn

From first principles to response surface optimisation

Master the fundamentals of DoE — factors, levels, treatments, responses — using hands-on coffee tasting and catapult examples that build intuition before the maths
Design and analyse 2-factor and 3-factor full factorial experiments — manually and in Minitab — and build regression equations that predict the response
Handle noise factors using blocking, analysis of covariance, and replication — and understand confounding and design resolutions in fractional factorial designs
Perform screening using Plackett-Burman design — reduce from many factors to the significant few with a fraction of the experimental runs
Interpret ANOVA p-values, main effects plots, interaction plots, Pareto charts of effects, and residual plots — the complete DoE output toolkit
Run split-plot designs for hard-to-change factors — set up, analyse, and use the response optimizer in Minitab to find the best settings
Apply Central Composite Design to fit a full quadratic model — understand circumscribed, face-centered, and inscribed CCD variants and choose the right one
Use model selection methods (forward, backward, stepwise) and compare models using R², adjusted R², predicted R², and VIF to build the best-fit parsimonious model
Course curriculum

3 teaching sections · 48 lessons · 5h 8m

1

Foundation of Design of Experiments

29 lessons · 3h 13m
  • DoE fundamentals — factors, levels, treatments, main effects, and interactions using a coffee-tasting example
  • 2-factor and 3-factor full factorial designs — manual calculations, regression equations, and Minitab demonstrations
  • Interaction effects — contour plots, interaction plots, and regression equations with interaction terms
  • Noise factors — blocking, analysis of covariance (ANCOVA), replication vs. repetition, and catapult experiment with replications
  • Fractional factorial designs — confounding, aliasing, and design resolutions (III, IV, V)
  • Center points — detecting curvature in two-level factorial designs
2

ANOVA and Regression — A Quick Overview

6 lessons · 39 min
  • ANOVA — p-values, main effects, interactions, and lack of fit
  • Regression — scatter plots, R² and adjusted R²
  • Residual diagnostics — normal probability, vs. fit, histogram, vs. order
  • Model comparison — R² predicted, VIF, collinearity
  • Model simplification — forward, backward, and stepwise selection
3

Screening, Modelling and Optimising

11 lessons · 1h 15m
  • Plackett-Burman screening — 7 factors in 12 runs; identify the vital few
  • Full and fractional factorial modelling — Minitab setup and analysis
  • Split-plot design — hard-to-change factors, whole plots, and subplots
  • Full factorial catapult model — 5 factors, 32 runs, stepwise reduction
  • Response Surface Methodology — CCD variants and Box-Behnken overview
  • Central Composite Design in Minitab — 2-factor CCD, optimisation, curvature
What's included

Everything you need to master designed experiments

🎬

Video Lessons

48 lessons covering DoE theory, manual worked examples, and Minitab demonstrations — from 2-factor experiments through to Central Composite Design optimisation.

📝

Section Quizzes

Three quiz sets — one per teaching section — to consolidate your understanding of concepts before moving to the next phase of the DoE process.

💡

Answer Explanations

Detailed explanations for every quiz question, so you understand the reasoning behind each correct answer and can apply the logic confidently.

📋

Downloadable Slides

Slide PDFs for every section — available to download, save, and print. A useful reference for CSSBB candidates and DMAIC project teams.

🏆

Certificate + 5.0 PMI PDUs

Earn a Quality Gurus Inc. verified digital certificate on completion, along with 5.0 pre-approved PMI PDUs and 5.0 SHRM PDCs — more than most courses offer.

🤝

Student Community Access

Ask questions, share Minitab outputs, and discuss DoE challenges with other engineers and quality professionals in the student community.

Who it's for

Built for engineers and quality professionals who want to experiment smarter

Quality engineers and Six Sigma practitioners

DoE is a core tool in the Analyse and Improve phases of DMAIC. This course gives you a practical command of designed experiments that goes well beyond what most CSSBB prep courses cover.

R&D, process, and manufacturing engineers

If you're responsible for product development, process optimisation, or root cause investigation, DoE gives you a systematic, statistically sound way to find the optimal factor settings — not just trial and error.

Performance improvement professionals

You work in continuous improvement and want a rigorous method for understanding how multiple factors interact to affect process output — screening out noise and modelling what really matters.

Anyone new to DoE with a basic statistics background

The course assumes familiarity with basic statistical ideas (means, variation, p-values) but no prior DoE knowledge. ANOVA and regression are reviewed inside the course so you can follow the analysis from day one.

Your instructor

Sandeep Kumar

Founder, Quality Gurus Inc. · ASQ Certified — CSSBB, CQE, CQA & more

Sandeep Kumar
40+ years of quality & engineering experience
ASQ Certified — CSSBB, CSSGB, CQE, CQA & more
350,000+ students trained globally
PMI Authorized Training Partner · ATP #6034

Sandeep is an engineer and quality management expert with over four decades of experience in process improvement and experimental design. His approach throughout this course is consistent: start with a simple, memorable example — then build the rigour. The coffee-tasting and catapult experiments are not gimmicks; they are carefully chosen to make factor interactions and regression equations tangible before applying the same logic to complex industrial processes.

The result is a course that engineers describe as the clearest DoE course available — making Minitab, fractional factorial designs, and Central Composite Design accessible to working professionals across every industry.

350K+
Total Students
★ 4.6
Avg Rating
40+
Years Experience
Student reviews

What students are saying

★★★★★

"Very well explained, even for non-native speakers like me. Statistical basics were explained only as detailed as necessary, but that's what I like."

P
Peter Bittorf
Verified student
★★★★★

"It was a very good course with basic understanding in Design and Analysis of Experiments. It really helped me a lot in understanding the concepts. Thank you so much."

E
Eslam Ahmed Ibrahim Gouda
Verified student
★★★★★

"Very detailed course to get mastery in DoE knowledge. Rich in examples, easy to understand way of teaching. Probably the best course for DoE."

J
Jitendra Nath
Verified student
Enroll today

Get the complete course for $10

Use code QG80 at checkout. Full access, certificate, and 5.0 PMI PDUs included.

Design and Analysis of Experiments (DoE)
$10$49.99
80% off with code QG80
  • 48 video lessons · 5h 8m of content with Minitab throughout
  • 365 days of unlimited access
  • Downloadable slides for every section
  • Quality Gurus Inc. verified certificate of completion
  • 5.0 pre-approved PMI PDUs (ATP #6034)
  • 5.0 SHRM PDCs · CPD Accredited (UK) — Accreditation #1016190
  • Student community access
  • All future course updates at no extra cost
  • Access on any device, anytime
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FAQ

Common questions

Do I need a statistics background to take this course?
A basic understanding of statistics — means, variation, and p-values — is helpful. The course reviews ANOVA and regression in Section 2, so you can follow the analysis even if your statistics knowledge is rusty. No prior DoE experience is required. The course is specifically designed to build DoE intuition through simple, memorable examples before introducing the mathematics.
Do I need Minitab to follow the course?
Minitab is used throughout the demonstration lectures, but you do not need an active Minitab licence to follow the course and understand the concepts. The demonstrations show exactly what to enter and how to interpret the output. If you have access to Minitab (a free 30-day trial is available from Minitab's website), you can follow along directly — but the course is fully understandable without it.
Is this course relevant for the ASQ CSSBB exam?
Yes. Design of Experiments is a major component of the ASQ Certified Six Sigma Black Belt (CSSBB) Body of Knowledge, covering full and fractional factorial designs, response surface methodology, and the analysis and interpretation of DoE results. This course provides in-depth, practical coverage of all of these areas — going beyond what most CSSBB prep courses include on this topic.
How many PMI PDUs does this course provide?
This course provides 5.0 pre-approved PMI PDUs and 5.0 SHRM PDCs — double the credit offered by most Quality Gurus courses, reflecting the depth and length of the content. Quality Gurus Inc. is a PMI Authorized Training Partner (ATP #6034) and an official SHRM Recertification Partner. Instructions for claiming your PDUs are provided inside the course.
Is this course accredited?
Yes. The course is accredited by The CPD Group (UK) — Provider #784310, Accreditation #1016190 — and qualifies for 5.0 CPD hours. A Quality Gurus Inc. verified digital certificate is issued on completion of the course.
What is covered in the fractional factorial and design resolution section?
The course covers fractional factorial designs in depth — including how to set up half and quarter factorial designs, how confounding (aliasing) works, and how to read a design resolution (III, IV, V). You will understand which interactions are confounded with main effects at each resolution level, and how to use this to make informed choices about which design to run. Minitab demonstrations show the practical steps from design creation to output interpretation.
How long will it take to complete the course?
The course contains 5 hours and 8 minutes of video content across 48 lessons. Most students complete it over 3–5 focused study sessions. You have 365 days of full access, so you can work at your own pace and revisit the Minitab demonstration lectures as many times as you need.

Your DoE skills start here.

48 lessons. 5.0 PMI PDUs. Screening, modelling, and optimising — with Minitab — from the foundations through to Central Composite Design.

Enroll Now — $10 with code QG80 →
365 days of access · Certificate + 5.0 PMI PDUs & SHRM PDCs · CPD Accredited (UK)
© Quality Gurus Inc. · qualitygurus.com · PMI Authorized Training Partner ATP #6034
CPD accreditation by The CPD Group (UK) · Provider #784310 · Accreditation #1016190

Course Curriculum

Bestseller · 80% Off Today
Design and Analysis of Experiments (DoE) — from screening to optimisation.

48 lessons covering the full DoE process — full and fractional factorial designs, Plackett-Burman screening, split-plot designs, and Central Composite Design for response surface optimisation. Minitab throughout. Downloadable slides and a certificate with 5.0 PMI PDUs included. One payment — 365 days of access.

$10 $49.99
80% off — use coupon QG80 at checkout
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5.0 PMI PDUs · 5.0 SHRM PDCs included
CPD Group (UK) Accredited · Provider #784310
★ 4.6 overall rating · 350,000+ students trained
365 days access · Any device

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