Instructor Led Spectroscopy Training
Spectroscopy Training Provider? - Tell us about your Training!
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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Multivariate Data Analysis 1



...se highlights include, application of Chemometrics to NIR spectroscopy and application of multivariate statistics for specific industrial applications. Customized real-world data sets will be examined during the course.
Participants are encouraged to bring their own data for analysis, applications development and group discussion. The course will use The Unscrambler software package, which is
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From Petroleum Training Institute
Analytical Instrumentation Systems
This course is for the process engineer/ technician presented with the task of maintaining and operating on-line process analysers in a production plant. The main topics covered are listed below.
Sampling of Liquids and Gases
Sample handling for process gas chromatographs
Pressure let down systems
General analyser housing design
Sampling of solids and slurries
Thermal Conductivity and
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From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course)


...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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