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Training on
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Multivariate Data Analysis - Level 1
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March 23-24, 2010 |
Cambridge ,
United Kingdom |
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Course Overview
The Multivariate Data Analysis Level 1 training is a general, multipurpose introductory course. No prior
knowledge of multivariate methods are required for the participants.
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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. |
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Course Details
- Introduction to multivariate data modeling
- Principles and applications of Principal Component Analysis (PCA)
- Multivariate regression: Multilinear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS)
- Relevant data collection
- Pretreatment and scaling
- Detecting and dealing with Outliers
- Calibration
- Validation
- Prediction
- Basic rules for successful data analysis
Course Fees: |
University |
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£ 450 |
Non-profit Research Organization |
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£ 600 |
Industry |
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£ 900 |
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Venue:
To Be Announced
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Contact:
Brad Swarbrick Regional Manager Mobile: (61) 408 882 007 email |
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Dr. Marion Cuny
Marion Cuny, Ph.D. is a food science engineer and specializes in signal interpretation in NMR spectroscopy applied to food authenticity issues.
Awarded a Ph.D in analytical chemistry (2008) from the AgroPArisTech - member of the Paris Institute of Technology, Marion also accomplished a successful 3 year term with Eurofins, an International group of contract laboratories. Marion joined CAMO in 2008 to extend the wide range of solutions for consumer insight and sensory analysis in product development and quality assurance projects.
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General Terms
The course fees includes lunch, tea / coffee, course material and 30-days trial installation of The Unscrambler and the text book, Multivariate Data Analysis - in practice by Kim Esbensen. The number of seats for the course is limited to 6. Participants are required to bring their own Laptop, organize transport to / from training venue and accommodation at their own cost. Deadline for registrations: 2 weeks before the course start.
Payments: 30 days net from date of invoice.
Cancellation: Cancellations up to 1 week prior the course start date, will be refunded with 50% of the registration fee, after this limit will not be refunded.
Substitution: The course participants may be substituted or join a later training provided that CAMO is notified. |
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CAMO Software Australia and New Zealand PO Box 97, St Peters NSW Australia 2044 www.camo.com |
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