Introduction to Design of Experiments (DOE)

Multifactor methods for accelerating process improvement


Ready to begin harnessing the power of DOE for your own R&D efforts? Jump in to our intro course to learn why DOE works, how to use factorial designs, and gain experience navigating Stat-Ease software. Your instructor will walk you through how to set up an ideal experiment for process-factor screening or characterization of interactions, and how to analyze the results. This class gets you off to a fast start for applying highly effective and efficient multifactor experiments via sound statistical methods.

Take this course the same week as Basics of Response Surface Methodology (RSM) or Fundamentals of Mixture DOE for a comprehensive experience!

Courses are held via Zoom, and attendees will need a copy of Stat-Ease software to participate in the hands-on activities.

All modules are $295 per person ($95 for academics).

A $50 discount per person is available if you register for more than 1 course or register more than 1 person for the same course.

  1. DOE vs. OFAT
  2. Transformations (Well drilling case study)
  3. Blocking (Reactor case study)
  4. Center points (Assay case study)
  5. Intro to mixture design

Upcoming dates/times:

  • Tuesday, January 27, 9:00 AM-12:30 PM US Central Time
  • Tuesday, February 10, 1:00-4:30 PM US Central Time
  • Tuesday, March 24, 9:00 AM-12:30 PM US Central Time
  • Tuesday, April 14, 1:00-4:30 PM US Central Time

Host this class at your company!

Request a quote today - call our Lead Client Specialist at 612.378.9449 or email workshops@statease.com.

Public Workshops

2026

Introduction to Design of Experiments (DOE)

Multifactor methods for accelerating process improvement.

9:00am - 12:30pm (USA Central Time)

Regular price $295.

 

Online
January 27
Introduction to Design of Experiments (DOE)

Multifactor methods for accelerating process improvement.

1:00 - 4:30pm (USA Central Time)

Regular price $295.



 

Online
February 10
Introduction to Design of Experiments (DOE)

Multifactor methods for accelerating process improvement.

9:00am - 12:30pm (USA Central Time)

Regular price $295.

 

Online
March 24
Introduction to Design of Experiments (DOE)

Multifactor methods for accelerating process improvement.

1:00 - 4:30pm (USA Central Time)

Regular price $295.



 

Online
April 14