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: Multi Linear 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

• 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
July 15-16, 2008	English	Web Training (Your Location)	United States
September 08-09, 2008	Italian	Milano	Italy
September 08-09, 2008	English	St. Petersburg	Russia
September 11-12, 2008	Spanish	Madrid	Spain
September 15-16, 2008	English	London	United Kingdom
September 29-October 01, 2008	German	Stuttgart	Germany
October 13-14, 2008	English	Prague	Czech Republic
October 14-15, 2008	English	Web Training (Your Location)	United States
October 16-17, 2008	German	Vienna	Austria
November 05-07, 2008	French	Grenoble	France
November 17-18, 2008	Dutch	Utrecht	Netherlands