This module builds on and focuses on expert level applied statistical tools you can utilise in your daily work. It covers advanced modelling of many responses and predictors.
This is an expert course and the third of three within the topic of data analysis and DoE. This module builds on Data-driven root cause analysis and design of experiments (DoE) 1 and 2 and focuses on expert level applied statistical tools you can utilise in your daily work. It covers advanced modelling of many responses and predictors.
This course is relevant for you if you are e.g. working with development, optimisation or process/product trouble shooting. You are working on your own with large data sets on daily basis and need advanced statistical tools to extract vital information in order to optimise process and improve quality.
If you are participating in a Six Sigma Green Belt or Black Belt course, this module will be voluntary. The covered tools will become useful when working with data analysis on your DMAIC project.
After participating in this course, you will be able to:
- Work with non-normal distributed data
- Fit data with any function not just polynomials
- Perform time series analysis to correct for timely lags between variables
- Handle inhomogeneous variance
- Use data mining tools for multivariate analysis that can handle many variables (e.g. spectral information)
- Design and analyse dataset where some variables are randomised less than others to ease experimentation
- Hypothesis testing on non-normal distributed data
- Fitting asymptotic curves
- Time series analysis
- Linearity studies with inhomogeneous variance
- Regression with censored data
- Cross validation
- Variance inflationary factor (VIF)
- Principal component analysis (PCA)
- Partial least Square (PLS)
- DoE - with whole plots
- DoE - with variance modelling
- Design spaces
- DoE catapult exercise
- Decision trees
- Boot strap forest
- Sample size for linear regression
The software used in this course is JMP from SAS.
This is an expert course and the third of three within the topic of data analysis and DoE. The following previous level modules within this topic are prerequisites for participation in this module.
- Data-driven root cause analysis and design of experiments (DoE) 1
- Data-driven root cause analysis and design of experiments (DoE) 2
If you want to devote more focus on the development of performance and processes, you can get inspiration from methodical courses such as Design for Six Sigma or Quality Function Deployment offered by Storm Management. These courses will help you map and operationalise customer demands and develop future processes.
Furthermore, you have the opportunity to continue your education as a Six Sigma Green Belt or Black Belt, and become more competent and able to optimise, lead and develop processes.
Venue: NNE's headquarters, Bredevej 2, 2830, Virum, Denmark
Price: DKK 8,000 + VAT (includes course materials, refreshments and lunch)
Language of instruction: The course will be held in English unless all participants speak and understand Danish
Duration: 1 day
Course dates in 2018
- March 8
- May 24
- September 13
- November 22