Design of Experiments
A collaboration between statistics experts at Integral Concepts and Accendo Reliability, this self-guided online course offers in-depth training to teach you the fundamentals and analysis methods to effectively design, analyze and make sense of experimental situations. And unlike many other statistics professional development courses out there, you’ll receive additional support from your instructor to answer any questions you have along the way.
Designed for individuals just getting started, statistics expert and instructor Allise Wachs will guide you through a comprehensive and interactive introduction to design of experiments so you can confidently:
Design and conduct experiments effectively and efficiently
Identify and interpret significant factor effects and 2-factor interactions
Develop predictive models to explain process/product behavior
Check models for validity
Apply fractional factorial designs
Handle variable, proportion, and variance responses
Avoid common misapplications of DOE in practice
Access comprehensive videos, demos, interactive Q&A, participant exercises, offline instructor support, and more!
Course Location: Online & OnDemand with instructor support
Duration: approx. 30hrs, self-paced video and exercises
Tuition: starts at $1199 USD*
6 months of full access.
*Group discounts available for teams. See pricing breakdown and special offers.Enroll and Start Today!
Thorough knowledge of subject matter and ability to communicate it – exceptional instructor.Former DOE course student
DOE Course Overview
Here's what you can expect from the Design of Experiments course.
9 Course Modules
You'll receive 52 lessons grouped into 9 easy-to-navigate modules.
Analysis Results/Output Interpretation
Interpret your design and analysis using expert tips.
Receive instructor feedback while you learn.
DOE Design & Analysis Demos
Walk through in-depth design, analysis, and validation demos using MINITAB software.
6 months of full access.
Concepts & Methods Video Presentations
Watch comprehensive video presentations of DOE concepts and methods.
Interactive Learning Exercises
Participate in interactive exercises and see real solutions used by the pros.
Offline Instructor Support
Offline instructor support is available to ensure your success!
Accessible Training References
Convenient electronic and hardcopy participant guide and textbooks available.
Course curriculum at-a-glance.
Access all 9 modules/52 lessons when the time (and place) is right for you.
Module 1: DOE Concepts
Module 2: Planning for a DOE
Module 3: Two-Level Factorials
Module 4: Determining Significant Effects
Module 5: Developing Predictive Models
Module 6: Fractional Factorials & Other Designs
Module 7: Proportion & Variance
Module 8: Introduction to Response Surface Designs
Module 9: Appendix I: Basic Statistics (Optional Refresher)
Allise Wachs, President of Integral Concepts
Course Instructor and Statistics Expert
Dr. Allise Wachs has 30 years of experience in the application of statistical methods to optimize product designs and manufacturing processes—and to assess product liability risk. Her research includes the development of mathematical models to reveal optimal decision sequences. She is the President of Integral Concepts, Inc. where she assists engineers and scientists in the application of statistical and optimization methods to reduce the time and cost to develop new products and optimize manufacturing processes. She also helps to resolve complex engineering and manufacturing problems quickly and thoroughly.
Her areas of expertise include designed experimentation, reliability analysis, general statistical methods, statistical process control, measurement system assessment, and stochastic optimization. She has been an adjunct professor in the College of Engineering at the University of Michigan, and she provides expert testimony in product liability litigation.
Dr. Wachs possesses a Ph.D. in Operations Research, an M.S. in Industrial and Operations Engineering, an M.A. in Statistics, and a B.S in Mathematics & Statistics, all from the University of Michigan. She also completed all required coursework for a Ph.D. in Statistics at the University of Chicago and the University of Michigan.
Just what we needed to get serious about DOE. Allise was serious yet entertaining. She made the class enjoyableAnonymous Integral Concepts course attendee