Modeling Designs Short Course
$175.00
- Course Overview
- Course Structure
- Learning Objectives
- What’s Included
- What Sets Us Apart
- Reviews & Testimonials
- Job Opportunities
- Certification
- FAQs
- Reviews (0)
Course Overview
The Modeling Designs Short Course is designed for professionals who want a practical understanding of how modeling designs support efficient experimentation, analysis, and prediction. This short course focuses on structured design selection, model building, and the logic behind choosing the right experimental design for different factor combinations and constraints using advanced design of experiments methods. It is a strong fit for learners seeking a modeling designs short course online that stays grounded in applied statistical methods rather than general drafting or design software topics.
Why This Course Matters
A strong modeling design helps teams learn more from fewer trials. The published course structure covers full factorial, fractional factorial, central composite, Box-Behnken, and D-optimal designs, along with Taguchi L12-based model building and a modified Box-Meyer method for variance reduction work. That makes this course useful for engineers, analysts, and improvement professionals who need better models for technical decision-making supported by practical DOE guidelines.
Software Support Included
This course also includes a Quantum XL demo. Air Academy describes Quantum XL as an Excel add-in for statistical analysis and Monte Carlo simulation, with features such as reliability modeling, improved distribution fitting, distribution calculators, Johnson transformation, and control chart enhancements.
Contact us to Learn more
1.800.748.1277 | info@airacad.com
Course Structure
- The what and why of Modeling design
- Modeling Designs
- Full Factorial (2 and 3 levels)
- Fractional Factorial (2 levels)
- Central Composite Design (CCD) (3 levels)
- Box Behnken Design (3 levels)
- D Optimal Design (mixed levels)
- Possible model building from a Taguchi L12
- Modified Box-Meyer Technique for identifying variance reduction factors with no replications (no s-hat model)
Learning Objectives
By the end of this course, participants should be able to:
- explain the purpose of modeling designs in analytical and experimental work
- distinguish among full factorial, fractional factorial, CCD, Box-Behnken, and D-optimal designs
- understand when mixed-level and reduced-run designs are useful
- recognize model-building possibilities from a Taguchi L12 design
- understand the role of the modified Box-Meyer technique in identifying variance reduction factors
- choose modeling approaches that balance information, cost, and practicality
- apply design logic more effectively in DOE and technical analysis projects
These objectives are based directly on the course structure published on the page.
What’s Included
QUANTUM XL DEMO
Quantum XL, the Excel add-in for Statistical Analysis and Monte Carlo Simulation, now includes the following new features:
- Reliability Modeling – including Left, Right, and Interval Censored
- Improved Distribution Fitting
- Distribution Calculators – 14 Continuous and 7 Discrete
- Johnson Transformation
- Control Chart Enhancements
What Sets Us Apart
Air Academy Associates delivers practical, application-focused training that helps professionals move beyond theory and apply modeling design concepts in real technical environments. This course is structured to build confidence in selecting, building, and interpreting experimental designs for complex problems. Learners gain skills that directly support decision-making, optimization, and analytical modeling.
The course emphasizes real-world design strategies, including factorial, response surface, and D-optimal approaches. It helps professionals understand when to use each design type and how to balance cost, information, and feasibility. This practical focus makes the course especially valuable for engineers and analysts working in data-driven environments.
A key strength of this training is its ability to connect structured experimentation with practical model building. Learners develop a deeper understanding of how design logic supports analysis and prediction, while also gaining exposure to advanced design of experiments methods used in modern engineering and Six Sigma applications.
The course also supports professionals looking to strengthen their broader analytical skillset. It integrates concepts that align with advanced model building techniques, helping learners build more structured and scalable models for technical applications.
Our Clients Trust Us and Like What We Offer
Air Academy Associates has trained professionals from leading organizations across manufacturing, aerospace, healthcare, and technology sectors. Our training programs are trusted for delivering practical, results-driven knowledge that translates into real improvements in performance and decision-making. We focus on helping professionals apply what they learn immediately in their work.
Meet the Content Experts
Mark, President / Co-Founder
Mark brings decades of experience in statistical modeling, DOE, and performance improvement. He is widely recognized for simplifying complex analytical methods into practical tools that professionals can apply in real-world situations. His approach emphasizes clarity, usability, and direct application.
Lisa, Director of Curriculum Development
Lisa specializes in designing training programs that make advanced statistical and modeling concepts accessible and practical. Her work focuses on helping professionals build confidence in applying analytical methods to real business and engineering challenges. She supports learning experiences that are structured, clear, and results-oriented.
Reviews & Testimonials
“I would highly recommend this Lean Six Sigma Online Greenbelt training. The course and tools are designed to bring success to the students & businesses. The skills learned will bring value throughout your career.”
“Air Academy provides high quality consulting, coaching and education developed with close partnership with the client so that the efforts are well aligned with organizational goals. The expertise in Lean Six Sigma is superb and in addition, there is a wealth of leadership coaching that is invaluable. We have grown significantly in our Lean culture and leadership skills since engaging with Air Academy!”
“Air Academy Associates’ timeliness of performance is outstanding. They provided all requested support on time. They were proactive in setting up status meetings and managing control documents to assure deliverables were delivered on time and as specified.”
What did you like most? “the coaching session and videos, the possibility to stop the video if something is not clear”
Lisa was really the best. Also, videos were really good – Thanks to Lisa and Mark! “
“The online courses can be taken within the time frame that suits for my daily work. Yet, there are scheduled virtual sessions setting the milestones.”
“I thought this would be training like all the rest, I was very wrong. I found the instructor to be very interesting and captive with what could be thought of as dry data. He did not read from a power point, did not teach strictly from a book, but provided information that got me excited about making a difference in our operation which ultimately improved the bottom line. I was not trained only, but was given the opportunity to certify, which verified I understood the training.”
Job Opportunities
This course supports professionals whose work involves experimentation, optimization, or model-based analysis. Roles that can benefit include:
- Design Engineer
- Process Engineer
- Quality Engineer
- Manufacturing Engineer
- Reliability Engineer
- Continuous Improvement Specialist
- Six Sigma practitioner
- Technical Analyst
Where These Skills Are Used
Modeling design skills are useful in product development, process improvement, test planning, and optimization projects where teams need to study multiple factors without wasting time or resources. Because this course sits within Air Academy’s advanced short course catalog and ties closely to Design of Experiments and advanced analytical training, it fits professionals working in technical environments where structured experimentation matters.
Search our job board to find what opportunities might be available to you.
Certification
This short course provides a certificate of completion that demonstrates your ability to apply modeling design principles and structured experimental strategies in real-world scenarios. It supports your professional development and strengthens your credentials in DOE, model building, and technical decision-making.
Contact us to Learn more
1.800.748.1277 | info@airacad.com
FAQs
What does the Modeling Designs Short Course cover?
It covers the what and why of modeling design, full factorial and fractional factorial designs, central composite design, Box-Behnken design, D-optimal design, possible model building from a Taguchi L12, and a modified Box-Meyer technique for identifying variance reduction factors with no replications.
Is this course online?
Yes. The page presents it as an online short course in Air Academy’s advanced short course category.
How long is the course?
The page identifies it as 1 Module Eligible for CEUs & PDUs, so it is a focused short course rather than a longer certification program.
Is software included?
Yes. The course includes a Quantum XL demo, and the page describes Quantum XL as an Excel add-in for statistical analysis and Monte Carlo simulation.
Who should take this course?
It is best suited for engineers, analysts, quality professionals, and Six Sigma or DOE practitioners who want stronger skills in experimental design selection and model-building logic.
Related products
If you are looking to train your team, contact the Air Academy team for group pricing.
1.800.748.1277
info@airacad.com
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