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Multivariate Data Analysis - 2 days course - Asia

Multivariate Data Analysis - 2 days course - Asia


Multivariate Data Analysis

Using the latest multivariate techniques, participants will learn how to interpret complex data quickly and confidently. Discover the secrets of overviewing data tables and also learn how to build robust predictive models that turn data into decisions. The course is composed of lectures, software demonstrations and computer exercises in software SIMCA, based on real-life datasets.


The objective of this course is to show how to convert data tables to robust and reliable models and figures that can be easily interpreted and overviewed.


The course is intended for researchers, scientists and engineers working with collection and interpretation of data. Methods are general and usable in most fields, where the aim is to gain maximum information from the data.


  • Organization, visualization and treatment of different types of data
  • Multivariate data modeling and diagnostics
  • Understanding PCA, PLS and OPLS
  • Model interpretation
  • Possibilities for on-line process monitoring


Seminars are given in the language stated. In-depth discussion, course material and printed material are in English hence knowledge of English is required.

Day 1
9:00 to 17:00
The need for multivariate data analysis and PCA
  • Introduction to MVDA
  • Principal Component Analysis (PCA) for overview of data tables
  • Variable scaling, geometrical interpretation, and model evaluation
  • PCA applications – how does PCA bring value?
  • Computer exercises followed by discussion
Day 2
9:00 to 17:00
Focus on OPLS (Orthogonal Partial Least Squares)
  • Regression models. Prediction of responses Y from parameters X
  • Model diagnostics and validation of a PLS and OPLS model
  • OPLS applications – how does OPLS bring value? 
  • Computer exercises followed by discussion
  • Discussion of participants' own data

    Multivariate modeling is a powerful tool used in research, development, production and quality control in diverse industries ranging from Pharma and Biotech to car and steel industry. For more information on how SIMCA can help you gain value from data, go to and look into Application Areas.


    Please note that at some course locations you are required to bring your own computer for the exercises. Instructions on how to install the program will be included in the final course information.

    Included in the course fee (+ VAT) is coffee, lunch and course documentation.

    Cancellations received later than two weeks before the course starts will not be refunded. For courses cancelled more than two weeks before the course starts, Sartorius Stedim Data Analytics AB will retain 10% of the course fee to cover administrative costs and the rest of the amount will be refunded.

    Course participant(s) can be substituted by the registering company as long as Sartorius Stedim Data Analytics AB is notified.

    Sartorius Stedim Data Analytics AB are providing courses based on a sufficient number of registrants. Therefore, Sartorius Stedim Data Analytics AB reserves the right to cancel the course 14 days prior to the course start date, if the number of registrants is too low. Full refund will be made to these registrants. A 10% discount will be made to any registrant(s) enrolling in the next available course.

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