Instructor Led Mass Spectroscopy Training
Mass Spectroscopy Training Provider? - Tell us about your Training!
 online course |
 instructor-led class |
 learn at home |
 group study |
 self-directed study |
 cd-based training |
 DVD video training |
 printed book |
 e-book digital book |
 workshop seminar |
 train the trainer |
 computer-based learning |
 discount pricing |
 online tutorial |
From Camo Process AS
Multivariate Data Analysis MVA and Design of Experiments DoE - Chemometrics Spectroscopic Applications
This integrated course has been designed to give participants a strong foundation in the basics and fundamentals of Multivariate Data Analysis and DoE. The course combines theoretical studies and practical workshops, ensuring that each participant gets individual focus, and understands the practical uses of MVA & DOE applications in R&D, Product Development, PAT, Laboratory, Quality Control &
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Multivariate Data Analysis - I 3 Days
The Multivariate Data Analysis Level 1 training is a general, multipurpose introductory course. No prior knowledge of multivariate methods are required for the participants.
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
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From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course)
...opic 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.
Course Topics
# When are multivariate methods useful?
# Principles and applications of:
# Principal Component Analysis (PCA)
# Multivariate regression: Multi Linear Regression (MLR), Principal
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...opic 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.
Course Topics
# When are multivariate methods useful?
# Principles and applications of:
# Principal Component Analysis (PCA)
# Multivariate regression: Multi Linear Regression (MLR), Principal
more...
