Design of Experiments 
Online Course

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

Enroll today!

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.

  • Participant Interaction

    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)

Comprehensive, interactive and convenient.

6 months of full access.

Lets Get Started!

Allise Wachs, President of Integral Concepts

Course Instructor and Statistics Expert
allise@integral-concepts.com  
www.integral-concepts.com

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 enjoyable
    Anonymous Integral Concepts course attendee