Multivariate Data Analysis - I

The world is multivariate - Introduction to multivariate data modeling

When are multivariate methods useful?
Principles and applications of:
- Principal Component Analysis (PCA)
- Multivariate regression: Multilinear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS)
Relevant data collection
Multivariate modeling step by step
Pretreatment and scaling
Detecting and dealing with outliers
Calibration, validation
Prediction
The different validation methods
Basic rules for successful data analysis

Who should participate in this program?

The courses have been designed for individuals:

Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring.
Working with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy) chromatography instruments (LC, CE, GC, HPLC), production data & sensory data, R&D, quality control or production processes.

No prior knowledge of The Unscrambler^® is required to attend our courses.

Prerequisites

Discounts: 10% to members of the Annual Support and Upgrade Program

Find a MVA - Level I training course near you

Multivariate Data Analysis - Level 1
March 18-19, 2010	English	Copenhagen	Denmark	more...
March 23-24, 2010	English	Cambridge	United Kingdom	more...
April 12-14, 2010	Deutsch	Reutlingen	Germany	more...
April 21-22, 2010	Norwegian	Gothenburg	Sweden	more...
April 22-23, 2010	English	Victoria	Australia	more...
May 18-20, 2010	French	Lyon	France	more...
May 24-25, 2010	Italy	Milano	Italy	more...
September 22-23, 2010	Norwegian	Stockholm	Sweden	more...
October 05-06, 2010	Dutch	Utrecht	Netherlands	more...
October 07-08, 2010	English	Ljubljana	Slovenia	more...
October 12-13, 2010	Norwegian	Oslo	Norway	more...
October 18-19, 2010	Finnish	Helsinki	Finland	more...
November 24-25, 2010	English	Copenhagen	Denmark	more...