Training Courses

For Self Learners	For Beginners	For Advanced Users

Self Running Tutorial	Multivariate Data Analysis I	Multivariate Data Analysis II
Explore the self running tutorial with sample model files from The Unscrambler^® - 30 day FREE trial version	The world is multivariate - Introduction to multivariate data modeling When are multivariate methods useful? Principles and applications of PCA, MLR, PCR... More..	Data preprocessing PCA Multivariate regression Prediction Classification (SIMCA and PLS-DA) Multivariate Curve Resolution (MCR) More..

The Introducer	Experimental Design (DoE)	Multivariate Analysis Of Spectroscopic Data
Multivariate Data Analysis in Practice 5th Ed. by Prof. Kim Esbensen Practical applications of multivariate techniques such as PCA, PCR, and PLS Non-mathematical approach - ideal for analysts with little or no background in statistics Step by step introduction of new concepts and techniques that promotes ease of learning Theory supported by practical hands-on exercises based on real-world data More..	Introduction to experimental design Questions experimental design can answer Classical experimental strategies / Why is experimental design useful? More..	The Unscrambler®, Multivariate analysis (MVA) & Spectroscopy overview Data Handling (Importing / Exporting) Visualizing Data through plots Inspection (Evaluation) of data quality More..

	Introduction to Chemometrics	Multivariate Analysis of Sensory Data
	Introduction: The world is multivariate Principal Component Analysis (PCA) – theory and applications Partial Least Squares Regression (PLS-R) – ... More..	Univariate statistics Experimental setup Evaluation of panel data Principal Component Analysis (PCA) Varimax rotation Preference mapping More..

	Others

	Process modelling and optimisation
	Design of experiments Efficient data collection Screening designs Optimization designs Evolutionary Operation (EVOP) design More..