Instructor Led Multivariate Training - Training Resources
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From Camo Process AS
Multivariate Data Analysis Level 1 MVA 1 Process Analytical Technology PAT
... 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 professionals and students, the course is designed around real-world applications, with intensive, hands-on
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... 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 professionals and students, the course is designed around real-world applications, with intensive, hands-on
more...
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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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.
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
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...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...
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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...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
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... 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)
...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
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...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 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
more...
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...
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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...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
more...
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...
...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...
