CAMO Software

Multivariate Data Analysis - Level 1

September 13-14, 2018 | Basel, Switzerland


Course Overview


For many years now, Multivariate Analysis (MVA) has been used by spectroscopists, analytical chemists, process engineers and sensory scientists to find important relationships in complex data tables. Methods such as Principal Component Analysis (PCA) have been used for data mining and exploratory data analysis purposes, while methods such as Partial Least Squares (PLS) have been used for predicting difficult to measure properties of products ranging from pharmaceuticals, petrochemical and agricultural comodities.

CAMO Software has been providing world recognized training courses in MVA for many years and this course on Advanced Multivariate Analysis builds on concepts introduced in other courses currently offered.

All course material will be supplemented with hands on practical exercises that highlight the use of each method discussed in a practical manner.

Prior experience with multivariate analysis or The Unscrambler®X is not required.

Who should participate in this program?

The courses have been designed for individuals:
  • Involved in R&D, product development, process optimization, quality control & monitoring
  • Working with complex data sets with many variables

Description

If you want to study several variables at the same time and these are correlated, you need multivariate modeling strategies.

During the Multivariate Data Analysis – Level 1 workshop you will learn about:

  • The need for multivariate methods
  • Common applications
  • Importing and visualizing your data
  • Principal Component Analysis
  • Multiple Linear Regression
  • Principal Component Regression
  • Partial Least Squares Regression
  • Outlier detection
  • Validation of models

The workshop will contain both theory and practical usage of multivariate methods.

Course Details

Day 1
  • Section 1 — Introduction to Multivariate Analysis
    • The world is multivariate
    • Multivariate concepts
    • Multivariate examples
    • Data analysis workflow
  • Section 2 — Notions and terms used in MVA1
    • Explanatory, design and response variables
    • Dummy variables
  • Section 3 — Data import and handling
    • Historical data versus designed experiments
    • Importing and handling data
  • Section 4 — Diagnostics and plotting
    • Different plot types
    • Sample grouping
  •  
  • Lunch
  •  
  • Section 5 — Principal Component Analysis
    • Exploratory data analysis
    • The principle of projection
    • Interpretation
    • Background theory
    • Validation
    • Projection of new samples
Day 2
  • Section 6 — Outlier detection
    • What is an outlier
    • Different diagnostic plots
  • Section 7 — Regression methods
    • The concept
    • Multiple Linear Regression
    • Principal Component Regression
    • Partial Least Squares Regression
    • Interpretation
    • Prediction
  •  
  • Lunch
  •  
  • Section 8 — Validation methods
    • Why validate?
    • Modeling stages
    • Test set
    • Cross-validation
    • Replicates
    • What is the correct way to validate
  • Section 9 — How to be a good data analyst
    • Rules in multivariate analysis
    • Advice in modelling phase
    • Validity of models

Instructor


Dr. Frank Westad Chemometrician and CSO, CAMO Software AS


Frank Westad received his M.Sc in Chemistry and Data analysis in 1988, and completed his Ph.D. thesis “Relevance and parsimony in multivariate modeling” in 2000 with the Norwegian University of Science and Technology. His working experience over the years includes positions as Research Scientist with SINTEF, Consultant with IDT GmbH (Germany), Application Specialist with CAMO and Senior Research Scientist at the Norwegian Food Research Institute (MATFORSK) and GE Healthcare. His experience also includes numerous scientific papers, presentations at international conferences and teaching statistics, chemometrics and multivariate methods for the industry. After being a consultant for CAMO the past two years, he now holds the position of Chief Scientific Officer in the company.

General Terms


The course fees includes lunch, tea / coffee, course material and 30-days trial installation of The Unscrambler. Participants are required to bring their own Laptop, organize transport to / from training venue and accommodation at their own cost. Deadline for registrations: 2 weeks before the course start.

Payments: 30 days net from date of invoice.

Cancellation: Cancellations up to 1 week prior the course start date, will be refunded with 50% of the registration fee, after this limit will not be refunded.

Substitution: The course participants may be substituted or join a later training provided that CAMO is notified.

Prices


Industry: € 1390
Research: € 1190
Academia: € 990

Venue


Basel Innovation

Contact


Jens Oestreich
Country Manager
Phone: +47 22 39 63 10
Fax: +47 22 39 63 22
email

Register