Instructor Led Multivariate Data Analysis Training - Training Resources
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From Camo Process AS
Multivariate Data Analysis Level 1 MVA 1 Process Analytical Technology PAT
The course is aimed at researchers, scientists and engineers
who work within life science and chemical industries. This course enables understanding of the central role of multivariate methods in Process Analytical Technology (PAT). Participants will learn how to interpret complex data quickly and confidently, and how to build robust models for process monitoring. Tailored to meet the needs of
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The course is aimed at researchers, scientists and engineers
who work within life science and chemical industries. This course enables understanding of the central role of multivariate methods in Process Analytical Technology (PAT). Participants will learn how to interpret complex data quickly and confidently, and how to build robust models for process monitoring. Tailored to meet the needs of
more...
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...
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...
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
more...
...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
more...
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
more...
... 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
more...
From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course)
The course hax been designed for individuals:
* Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring.
* Working 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
more...
The course hax been designed for individuals:
* Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring.
* Working 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
more...
From Creascience
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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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.
more...
From Camo Inc.
Multivariate Data Analysis
Introduction to 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
more...
Introduction to 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
more...
