Introduction to the Design of Experiments ‘DOE’

Introduction to the Design of Experiments ‘DOE’

This Session Has 8 Reviews

  1. Giovanna Sebastiani

    The course served to strengthen my understanding of concepts that I thought I knew. Furthermore, it provided me with the necessary tools to plan more powerful experiments from a statistical point of view. The course was well structured and quite enjoyable!

  2. Heather Averett

    This was a very useful class, Taught in a no-nonsense manner so everyone could apply the concepts to their research and walk away with practical knowledge for their jobs. Thank you. I found the class to be very beneficial and concisely taught.

  3. Matt Busch

    Nothing short of brilliant! There are a million things we could do, hundreds of things we should do, and only a handful of things we can do in a year. How do you decide which will have the greatest impact? Learn it here! Measuring the impact of your actions isn’t always easy. Measuring the combined impact of your actions and their interactions is even harder. This course makes it easy and can easily be applied no matter what industry you are in.

  4. Dana Coombs

    This was a great introductory course to DOE. It was just the right amount of material for a 2 day class and focused more on application than equations. A background in basic descriptive and inferential statistics is needed.

  5. Randall Maxwell

    This was a good course in understanding the basics of DOE. I liked the focus on concepts in data analysis.

  6. Zoltan Bodor

    I have found that the “Introduction to the Design of Experiments” course is essential for anyone who wishes to apply a disciplined approach to practical applications in a product development or design applications. The program appropriately covered the required fundamentals by working through practical examples. The material was very well organized and due to having a small group all questions relating to concepts were very well explored. The instructor was very helpful and well acquainted with the subject matter.

  7. Roger L. Roy

    DOE helped me to understand the different sources of error and variability as well as the tools available to minimize variability – repetition, randomization, blocking and controls. I now have a much better understanding of simple experimental designs and more complex factorial designs – along with the corresponding statistical tools – t-test, and Analysis of Variance (ANOVA) F-test. The breaking down of the components of variability when performing an ANOVA was of great benefit. Moreover, the notion of an interaction between two factors and how to test multiple comparisons were also very useful. The XLSTAT add-in to Microsoft Excel provides powerful and efficient statistical tools that allowed me to obtain faster, more detailed, reliable and accurate results than I have seen with other statistical packages.

  8. Ricky Ghilarducci

    Natalie, thank you so much for being such a great teacher. The Stats/DOE courses were absolutely brilliantly put together and taught. I learned so much in 3 days and feel so much more confident in my work environment now.