Instructor Led Applications Training Classes in Norway
From Camo Process AS
Multivariate Data Analysis 1



The three-day introductory class is a hands-on course designed to teach participants how to use chemometrics to solve practical problems.
The course 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
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Multivariate Data Analysis - Level 1, Helsinki, Finland - May 15-16, 2008


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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
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Multivariate Data Analysis 2


...applications development workshop will provide a hands-on, high-retention learning and skills development experience that will teach participants how to use advanced Multivariate Analysis to solve practical problems.
The application of multivariate statistics for industrial applications will be highlighted. Numerous real world data sets will be examined during the course.
Participants are
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Multivariate Data Analysis 1



The three-day introductory class is a hands-on course designed to teach participants how to use chemometrics to solve practical problems.
The course 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
more...
Experimental Design (DoE)



This three-day class is a hands-on, practical application workshop that will teach participants to use The Unscrambler Experimental Design suite to design and conduct experiments.
The course will provide participants with an overview of Experimental Design, its importance in Multivariate Statistics and an introduction to classical experimental strategies.
Participants are encouraged to bring
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Multivariate Data Analysis with Chemometrics & Spectroscopic Applications Level 1





...riate Data Analysis for Spectroscopy presents methods and applications for analysis of spectroscopy data using The Unscrambler®.
The Unscrambler® Overview Visualizing
Visualizing Data through Plots
Modifying Variable and Sample Sets
Data Pre-Processing
PCA
Regression Methods: PCR, PLS, MLR
Outliers in PCA and PLS
Inspection (Evaluation) of Data Quality
Calibration
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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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Multivariate Data Analysis(MVA) & Design of Experiments(DoE)- Chemometrics & Sensometrics Applications


The integrated course has been designed to give participants a strong foundation in the basics and fundamentals
of Multivariate Data Analysis (MVA) and Design of Experiments (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,
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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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Design of Experiments : Statistics : Advanced Training Course




Experimental Design Statistic
Apart from an Introduction to the Design of Experiments, this training session focuses on the design and the analysis of highly complex experimental designs. These designs are used to account for different sources of experimental constraints such as material heterogeneity, physical constraints, repeated measures , etc. Their design and analysis will be
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