New-User Intro to Design-Expert® Software
Learn what DOE can do for you while using this best-in-class software. Richard Williams, Stat-Ease Consultant, will detail what design of experiments (DOE) can do for you when catalyzed with Design-Expert's world-class statistical tools. Learn about factorial design, the core tool for DOE, followed by a peek at response surface methods (RSM) for process optimization… Read More »New-User Intro to Design-Expert® Software
Introduction to R
This online course helps you get started with R. We’ll cover the basics of R, ranging from importing and handling data to running common tests and fitting linear regression models.
How Many Runs Do I Need? Using Power and Precision to Size DOE’s
Discover the differences between these sizing tools and how to apply them to make the most of your experiments. Learn how power calculations protect against factorial design being too small to detect important effects. Power, however, is not the appropriate tool to size mixture and response surface method (RSM) designs. To properly determine how many… Read More »How Many Runs Do I Need? Using Power and Precision to Size DOE’s
R5 – Basic course in Propensity score matching
This course helps you getting started with Propensity score matching applied in R / Rstudio.
R4 – Visualisation and data exploration
This course will teach you how visually explore data in R, and how to create great-looking graphics using the powerful ggplot2 package.
R1 – Introduction to R
This online course helps you get started with R. We’ll cover the basics of R, ranging from importing and handling data to running common tests and fitting linear regression models.
R2 – Linear regression & ANOVA
This online R course provides you with a solid understanding of modern linear regression and ANOVA models.
R1 – Introduction to R
This online course helps you get started with R. We’ll cover the basics of R, ranging from importing and handling data to running common tests and fitting linear regression models.
R1 – Introduction to R
This online course helps you get started with R. We’ll cover the basics of R, ranging from importing and handling data to running common tests and fitting linear regression models.
Event Conditions
Course registration is binding. Upon cancellation more than 8 working days before the course start date, we invoice 50% of the course fee. Upon cancellation less than 8 working days before the course start date, we invoice the full course fee. Click here to read the full Terms and Conditions!