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 Maintenance Program

• The number of seats for the course is limited to 12
• Deadline for registrations: 3 weeks before the course-start
• Participants are required to bring their own Laptop.

Multivariate Data Analysis - Level 1
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...
October 25-27, 2010	Deutsch	Berlin	Germany	more...
November 24-25, 2010	English	Copenhagen	Denmark	more...