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Multivariate Data Analysis School

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1.	Multivariate Data Analysis School
2.	Cluster Analysis and its...
3.	Efficient Design & Analysis of...
4.	Introduction to the Design of...
5.	Principal Component Analysis and...
6.	Preference Mapping in Practice
7.	Advanced Experimental Designs
8.	Introduction to Generalized...

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Training Catalog

	Introduction to Statistics
Fundamental Tools in Statistics
Exploratory Data Analysis – Understanding Your Data through the Use of Graphics
	Research and Development
The Analysis of Variance
Fundamental Tools in Statistics
Introduction to the Design of Experiments (DOE)
Sample Size and Power Determination
Advanced Experimental Designs
Screening Designs
Optimization Designs and Response Surface Models
Nonparametric Tests
Efficient Design & Analysis of Shelf-Life & Stability Studies
	Modeling Techniques
Simple and Multiple Linear Regression Techniques
Regression Models for Categorical Data
Regression on Principal Components and PLS Regression
Classification and Regression Trees
Life, Reliability and Survival Models
Workshop on Regression Techniques
Nonlinear Regression
	Life Sciences
Fundamental Tools in Statistics
Sample Size and Power Determination
Regression Models for Life Sciences
Regression Models for Categorical Data
	Design of Experiments
Introduction to the Design of Experiments (DOE)
Advanced Experimental Designs
Screening Designs
Optimization Designs and Response Surface Models
	Market Research & Business
Cluster Analysis and its Applications
Marketing and Segmentation
Simple and Multiple Linear Regression Techniques
Regression Models for Categorical Data
Preference Mapping in Practice
	Multivariate Statistical Methods
Principal Component Analysis and its Applications
Workshop on Multivariate Data Analysis: PCA
Cluster Analysis and its Applications
Workshop on Multivariate Data Analysis: Cluster
Exploratory Data Analysis – Understanding Your Data through the Use of Graphics
Introduction to Generalized Procrustes Analysis
Multivariate Data Analysis School
Multivariate Techniques for Sensory and Consumer Studies
Preference Mapping in Practice
Principal Component Analysis: Theory and Hands-On Workshop
Cluster Analysis: Theory and Hands-On Workshop
	Sensory Evaluation
Principal Component Analysis and its Applications
Cluster Analysis and its Applications
Introduction to Generalized Procrustes Analysis
Multivariate Data Analysis School
Multivariate Techniques for Sensory and Consumer Studies
Design and Analysis of Discrimination Tests
Panel Performance Assessment
Statistical Analysis of Consumer Test Data
Preference Mapping in Practice
	Spatial Statistics
Introduction to Geostatistics
	Engineering
Fundamental Tools in Statistics
Introduction to the Design of Experiments (DOE)
Advanced Experimental Designs
Screening Designs
Optimization Designs and Response Surface Models
Repeatability and Reproducibility Studies (Gage R&R)
Regression on Principal Components and PLS Regression
Efficient Design & Analysis of Shelf-Life & Stability Studies
	Bundles
Principal Component Analysis: Theory and Hands-On Workshop
Cluster Analysis: Theory and Hands-On Workshop
	Good Laboratory Practices
Introduction to the Analysis of Measurement Uncertainty
Repeatability and Reproducibility Studies (Gage R&R)
Statistical Monitoring & Control of Measurement Processes