Instructor Led Nmr Training Classes
From HOT Engineering
Quick Look Petrophysics
This 3 day Basic Petrophysics Course sets out the essential data sets used to identify and evaluate reservoirs, explains their operating principles and arrives at a set of 'quick look' results. All geoscientists require this basic level of understanding to communicate with team members and manage assets effectively. All commonly used formation data is briefly presented with explanation of how it
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From Camo Process AS
Advanced Multivariate Data Analysis with Chemometrics & Spectroscopic Applications - Level 2 (in Japanese)




The courses have been designed for individuals:
- Having Level 1 knowledge of Multivariate Analysis
- Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring.
- Working or likely to work with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy), chromatography instruments (LC, CE, GC, HPLC), and other
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Statistics Training : Multivariate Data Analysis





CAMO offers comprehensive training courses and applications development workshops in
Multivariate Data Analysis I and II
Introduction to Multivariate Statistical Analysis with Chemometrics and Spectroscopy, Multivariate Analysis for NIR Spectroscopy, Near-Infrared Technology- Getting the most out of Light
Multivariate Statistical Analysis for Process Analytical Technology (PAT)
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Statistics Training : Multivariate Data Analysis (2)





Multivariate
Data Analysis 2 : 2-day course
This course
is addressed to the scientists who are familiar with the
principles and use of multivariate methods and wish for
further training. A stress is put on diagnostics and model
improvement. The course
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From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course)


...ng 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.
Course Topics
# When are multivariate methods useful?
# Principles and applications of:
# Principal Component Analysis (PCA)
# Multivariate regression: Multi Linear Regression
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