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Multivariate Analysis

Who This Course Is For

This course is designed for sensory analysts, analytical chemists, data scientists and anybody who needs to analyse data involving two or more variables.  It will help you understand the relationships within this type of data and thus make better decisions.

We cover all the useful and major statistical techniques. Although these techniques are by their very nature complex, we present them in a simplified and easy to understand way so that you can easily apply them to your data.

By the end of a 2-day course you will be able to:

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Understand which technique is appropriate
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Know when to us PCA or Factor Analysis
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Preference Mapping
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Carry out a multiple regression
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Understand multi-dimensional scaling
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Undertake a Principal Component Analysis (PCA)
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Realise the power of Partial Least Squares (PLS)

Course Level

The course assumes a good working knowledge of introductory statistics although prior reading will be issued before the course.  If you have no prior knowledge of statistics or your knowledge is a little rusty you may wish to attend our ‘Introduction and Statistical Methods for Scientists’ course first.

Lecturers & Tutors

Need More Information?

If you have any questions about this course or require further information prior to booking please contact us using the form below.

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    Course Booking Enquiries

    To book places on this course please contact the Statistics for Industry team by emailing:

    s4i@aol.com

    Clients who have attended this course include:

    Agroscope (Switzerland), BP Global Fuels, Britvic, Campden & Chorleywood FRA, Cereal Partners UK, Chivas, CPC Europe, DSTL, EA Technology, Eli Lilly, GlaxoSmithKline, Ineos Acrylics UK, Innospec, Irish Distillers, Johnson Matthey Catalysts, Kraft Foods, NESTEC (Switzerland), NIZO Food Research (The Netherlands), Pedigree Masterfoods, Procter & Gamble, Scottish Courage Brewing Ltd, Shell Global Solutions, TWI Ltd, Unilever Research (The Netherlands)

    Proven Training Approach

    Our courses are practical, interactive and stimulating and designed to show you how to put statistics to work.

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