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MDA1 :: Multivariate Data Analysis - Level 1 :: 3 day

Featured Software Package :: The Unscrambler X®, from CAMO

How to make sense of the potentially huge amounts of chemical, biological and process data generated by today’s technologies? See how Principal Components Analysis (PCA) can reduce many variables to the relevant few. This workshop introduces the powerful methods and tools that are available to help you to turn large complex multivariate data into informed decisions.

The Multivariate Data Analysis Level 1 training is a general, multipurpose introductory course. No prior knowledge of multivariate methods are required for the participants.

Topics Introduced

  • Introduction to multivariate data modeling
  • Principles and applications of Principal Component Analysis (PCA)
  • Multivariate regression: Multilinear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS) Regression
  • Relevant data collection
  • Pretreatment and scaling
  • Detecting and dealing with Outliers
  • Calibration
  • Validation
  • Prediction
  • Basic rules for successful data analysis

Software Tools Used

The Unscrambler X®, from CAMO - hands on

Course Leader

Dr. Lars Gidskehaug - Senior Analyst, CAMO Software AS

Lars is a specialist in multivariate analysis and chemometrics, with extensive experience in variable selection and validation. Lars received his M.Sc. in physical chemistry at the Norwegian University of Science and Technology in 2002, and finished his Ph.D. degree entitled Development of chemometric methods for variable selection on microarray data at the same university in 2007.He has worked with statistical genetics and method development at the Centre for Integrative Genetics/Norwegian University of Life Sciences. Lars has published and reviewed articles in chemometrics and bioinformatics journals, as well as developing software packages for multivariate and genetic analysis.

Who Should Attend?

The courses have 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

Recommended Preparation

No prior knowledge of multivariate methods or of The Unscrambler X® is required to attend this course.

date.pngWhen and Where?                              hold a place for me  tick.png

  • 23-25 Apr 2012 :: £1200 :: The Unscrambler X :: Cambridge
  • University = £750 :: Non-profit research = £950 :: Industry = £1200