For many years now, Multivariate Analysis (MVA) has been used by spectroscopists, analytical chemists, process engineers and sensory scientists to find important relationships in complex data tables. Methods such as Principal Component Analysis (PCA) have been used for data mining and exploratory data analysis purposes, while methods such as Partial Least Squares (PLS) have been used for predicting difficult to measure properties of products ranging from pharmaceuticals, petrochemical and agricultural comodities.
CAMO Software has been providing world recognized training courses in MVA for many years and this course on Advanced Multivariate Analysis builds on concepts introduced in other courses currently offered.
All course material will be supplemented with hands on practical exercises that highlight the use of each method discussed in a practical manner.
Prior experience with multivariate analysis or The Unscrambler®X is not required.
The courses have been designed for individuals involved in R&D, product development, process optimization, quality control & monitoring and those working with complex data sets with many variables.