Instructor Led Multivariate Training Classes
From Camo Process AS
Multivariate Data Analysis MVA and Design of Experiments DoE Level-1 Bangalore July 21-23 2008




...Multivariate Analysis Level - 1
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* The world is multivariate Introduction to
multivariate data modelling
* When are multivariate methods useful?
* Principal Component Analysis (PCA)
* Multivariate regression:
=> MLR- Multi Linear Regression
=> PCR- Principal Component Regression
=> PLS- Partial Least Squares
* Relevant data collection
*
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Multivariate Data Analysis 1



...on 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 a powerful, easy to use platform
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Experimental Design DoE


The Design of Experiment training will provide participants with an overview of Experimental Design, its importance in
multivariate statistics and an introduction to classical experimental strategies. The course will assume no previous statistical or DOE experience, but will accommodate advanced topics for seasoned practitioners as well.
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Multivariate Analysis of Sensory Data Utrecht Netherlands June 09-11 2008
The Multivariate Analysis of Sensory Data training is aimed at researchers and analyst who work within the sensory and consumer sciences and would like to utilize the full power of multivariate methods. The participants would gain knowledge on Univariate statistics, Experimental setup, Evaluation of panel data, Principal Component Analysis etc
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Multivariate Data Analysis - Level 1, Helsinki, Finland - May 15-16, 2008


...ctical application workshop that will teaches,
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
more...
Multivariate Data Analysis 2


...perience 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 encouraged to bring their own data for analysis, applications development and group discussion. The course will
more...
Multivariate Data Analysis 1



...on 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 a powerful, easy to use platform
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





...Multivariate 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
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Advanced Multivariate Data Analysis with Chemometrics & Spectroscopic Applications - Level 2 (in Japanese)




...esigned 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 sources of multivariate
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Multivariate Data Analysis(MVA) & Design of Experiments(DoE)- Chemometrics & Sensometrics Applications


...nts 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, Laboratory, Quality Control & Assurance and Consumer
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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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Design of Experiments : Statistics : Advanced Training Course




...arly 80's. Conducted by leading experts in the fields of Multivariate Data Analysis and Applications Development for Chemometrics , Spectroscopy and/or Process Analytical Technology Solutions, each course is taught by a world-class instructor, with special focus on Pharmaceutical and Biotechnology Applications Development, in both regulated and non-regulated areas, Chemicals
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From Creascience
Multivariate Techniques for Sensory and Consumer Studies


... consumer scientists interested in an applied workshop on multivariate data analysis of sensory and consumer test data with a strong emphasis on graphical summary representations.
During the first two days, classical multivariate techniques including Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis and Discriminant Analysis are presented and their
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From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course)


...trol 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 Component Regression (PCR), Partial
# Least Squares (PLS)
# Relevant data collection
# Multivariate modeling step by step
# Pretreatment and scaling
# Detecting and
more...
From Creascience
Principal Component Analysis and its Applications

...multivariate method which can identify redundancy or correlation among a set of measurements or variables for the purpose of data reduction. This powerful exploratory tool provides insightful graphical summaries with ability to include additional information as well.
This training course discusses the limitations of traditional descriptive tools for exploring datasets with several variables
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Multivariate Data Analysis Summer School


This 5-day course, offered in English, focuses on the practical aspects of the most widely used multivariate methods: Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis and Canonical Analysis.
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Cluster Analysis and its Applications

...em and identifying groups.
Aims It covers, a powerful multivariate technique, that comprises a diverse collection of techniques that can be used to classify objects (e.g. individuals, species, etc). Cluster analysis is a tool of discovery.
PrerequisitesThis one-day workshop introduces the important ideas in statistics and data analysis. It assumed that participants have no previous
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From Camo Inc.
Multivariate Data Analysis


...multivariate data modeling
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
more...
