Introduction to Multivariate Data Analysis

Register
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Next Date

By arrangement

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Participants

3 - 12 

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Duration

1 Day

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Course Form

online, classroom in Basel or in-house ℹ

In-house training = tailored course contents

Our statistics courses are also available in form of in-house trainings (in English, German or French), either online or on-site. Selected topics of our standard offer can then be combined and, if desired, extended, to specify your ideal course contents. Moreover, the practical PC-based exercises can be based on your data, which facilitates very much the application of the methods learnt after the training.

The participants acquire exactly the knowledge they need to support their daily work.

Take profit of our 25 years’ experience in coaching such trainings! Just contact us for more information or a precise offer.

Trainer:
Trainer: Dr. Philippe Solot

He has over 25 years of experience in the application of statistical methods in the process industry. He has coached many training sessions on various topics, including Machine Learning. His wide practical knowledge allows him to make even technical concepts easily understand­able by participants.

Dr. Solot holds an M.Sc. and a Ph.D. in Applied Mathematics, both from the EPFL (Swiss Federal Institute of Technology, Lausanne).

Course Description

Are you interested in analysing large, multivariate data sets to ensure that you are not overlooking any valuable hidden insights? This one-day course will provide you with an overview of the key techniques in multivariate data analysis. It is aimed at scientists and engineers who wish to extend their statistical know-how with cutting-edge methods for complex data analysis.

What Are You Going to Learn?

The course first addresses various graphical tools and then focuses on numerical methods. You will learn to know the central techniques of multivariate statistics and how to apply them to uncover meaningful patterns in your data. The methods presented allow for a quick discovery and clear interpretation of relationships between variables. The discussion be illustrated using real examples from the chemical and pharmaceutical industry (e.g. from quality control and spectrometry) in the framework of software-based demonstrations and exercises.

Who Should Attend?

Course Fees

Standard Fees Conditions for the EU
Standard Fees
  • CHF 795.- per day + 8.1% VAT (incl. course documents and individual participant coaching during the practical exercises) for online courses
  • CHF 865.- per day + 8.1% VAT (incl. course documents, individual participant coaching during the practical exercises, break refreshments and lunch) for classroom courses.
Conditions for the EU

Which Topics Are Covered?

Visualization Methods

  • Scatterplot matrices, trellis display, parallel coordinate plot

  • Interactive computer graphics (spin, brush), further graphics

Dimension Reduction

  • Principal components analysis (PCA)

  • Biplot

Discrimination and Classification

  • Discriminant analysis

  • Classification and regression trees (CART)

Cluster analysis

  • Hierarchical clustering

  • k-means algorithm

Registration Form – Introduction to Multivariate Data Analysis
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CONFIRMDATA1
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Any Questions? Send Us a Message.

Since we are a small company, we can respond quickly to your questions. Just contact us either by telephone +41 61 686 98 77 or using the Contact form.

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