Date: February 15th 2006

Third Edition of the Multivariate Data Analysis Summer School

Following the success of previous years, Creascience is happy to invite you to the 2006 edition of our Multivariate Data Analysis Summer School. The 5-day training session covers the practical aspects of the most commonly used multivariate methods: principal component analysis - PCA, factor analysis, correspondence analysis, cluster analysis, discriminant and canonical analysis.

The English edition will be held June 25 to June 30, 2006 in Montreal, Quebec, Canada. Two editions will also be held in French in June and August.

To learn everything on the summer school, click on the following links :

• Target Audience
• Learning Objectives
• Covered Topics and Course Outline
• Format of the Summer School
• What Past Participants Think of the Summer School
• Levelling Your Statistical Knowledge
• Other Upcoming Sessions
• To Register

Target Audience

The 5-day course covers the practical aspects of the most commonly used multivariate methods and is aimed at:

• Non-statisticians who use statistical tools - researchers, scientists, business analysts, engineers, graduate students, etc.
• Statisticians who are looking for an applied workshop and who wish to develop their practical knowledge of multivariate tools

Learning Objectives

Upon completion of this course participants will be able to :

• Determine which multivariate statistical methods can be used for a given study objective
• Choose the most appropriate multivariate technique for their data
• Perform the analysis using their own software
• Extract the pertinent or relevant information from the output provided by the software
• Interpret the numerical and graphical results
• Summarize and communicate the findings

Covered Topics and Course Outline

This 5-day training course presents the most popular multivariate data analysis methods. A multitude of multivariate techniques exist and have been developed by several different fields of application: chemometrics, psychology, social sciences, sensometrics,…

The course begins with a brief presentation of multivariate techniques, their place among other statistical analysis methods and their historical development.

Each of the following multivariate methods is then presented in detail:

• Principal Component Analysis
• Factor Analysis
• Correspondence Analysis
• Discriminant Analysis
• Cluster Analysis
• Canonical Correlation Analysis

Throughout the training, emphasis is placed on the purpose, the advantages and disadvantages of each method. Moreover, the type of data required for a given method, the approach taken and the type of results that can be obtained are outlined using examples from several fields of applications. The strengths, weaknesses and limitations of each of these methods are also discussed.

To display and to save the detailed course outline of the multivariate data analysis summer school, please follow this link : Course Outline

Summer School Format

The format of our summer school is unique in many regards:

• Emphasis is put on objectives, assumptions and interpretation of results instead of mathematical aspects
• Special attention is paid to the interpretation of computer output
• Participants are encouraged to use their own statistical software and data for exercises
• Our very low students to instructors ratio ensures a highly personalised assistance
• About 50% of the time is devoted to applications and results interpretation to maximize learning
• Detailed course notes, computer programs and sample data are provided

The mechanism underlying each method is presented through the use of numerical applications from several fields of science. Concepts related to graphical output available for each method, the interpretation of results are covered in depth to allow participants to perform multivariate data analysis.
For each method covered during the week, hands-on workshops are provided to give participants the opportunity to assimilate the tools learned using their own statistical package as well as their own datasets.This ensures the direct application of these powerful multivariate methods to each individual research problem, enabling participants to extract the most knowledge from the training.

Featured software: SAS, SPSS, Statistica, Minitab, S-Plus, JMP and XLStat*

*If you use another software and you are interested in attending the summer school, please contact us.

What Past Participants Think of the Summer School

Perhaps you want to look at some comments from past attendees. To take a peek at reviews for the last two years (French or English Editions), please go the following link: Reviews of the Multivariate Data Analysis Summer School

Levelling Your Statistical Knowledge

Looking for a refresher in statistics before attending the summer school? Starting this year, in order to help you make the most of the summer school, Creascience offers an optional course on Friday, June the 23rd. The Fundamental Tools in Statistics session is of one of our most popular courses and an excellent refresher for both beginners and regular users of statistical methods.

Other Upcoming Sessions

Our spring 2006 calendar is now available. Various sessions including some on the design of experiments and on regression techniques are offered. Also note a special edition of our "Shelf Life and Stability Studies" training to be held in Toronto in April, just before the Spring ASTM meeting.

Moreover, all our training sessions are also offered in-house. Contact us to learn more.

Additional Information & Registration

For more information, do not hesitate to contact us by phone at (514) 840-9220. Online registration is available. Just click on the Multivariate Data Analysis Summer School Information Page .

Please note that the number of seats is limited and that an early bird fee is available until April 15, 2006. Register early if you are planning on attending.

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