Workshop on Multivariate Data Analysis: PCA

ACP2

Duration : 0.5 day(s)

:: Course Summary

This half-day workshop on Principal Component Analysis (PCA) provides participants with the opportunity to put into practice the methods seen during the training and to apply them on their own data sets using their own statistical software.

:: Learning Objectives

Upon completion of this workshop, participants will be able to:

Validate their data for PCA

Format their data according to the specifications of their software to run a PCA

Run a PCA with their software

Produce insightful graphical summaries, e.g. the biplot

Extract the relevant and important information from the software output

Draw conclusions from the results of the PCA

:: Target Audience

This workshop is intended for people who wish to put the techniques of cluster analysis into practice. This applied multivariate data analysis workshop focuses on cluster analysis where participants can analyze their own data using their own software and experienced instructors are there to assist them.

:: Prerequisite

Participants must have a good working knowledge of Principal Component Analysis or they must have attended the training session Principal Component Analysis and its Applications

:: Notes and Other Information

Supported software are: SAS, SPSS, XLSTAT. If you use another software and you wish to attend this workshop, contact us.

Course Specifications for Registered Participants :

We invite you all to bring your laptop containing your multivariate analysis software of choice and, optionally, your own data as well. This will help you get the most out of the workshop by seeing the immediate application of statistical techniques using your own data and software.
Please let us know what software package you are planning to use so that we may plan accordingly.
We will provide sample datasets for those you who prefer not to bring your own data.
For those who wish to bring data, we recommend your dataset contain at least three variables and should not contain any text phrases. The file should contain solely one variable per column with a header row for variable names. This will simply help save time if any data manipulation is required during the workshop. At your request, we would be happy to validate your data file prior to the course for proper formatting.

:: Topics Covered

This workshop does not follow a strict course outline as its objective is to allow participants to practice using their software to run a cluster analysis on their data and interpret the output.
During this half-day workshop, participants will learn how to:

Appropriately format their data based on their software specifications
Run a PCA with their software
Extract the most useful information from the software output
Produce graphical displays and summaries
Interpret the results and draw conclusions

:: Course Content

This half-day workshop is intended to follow the training on Principal Component Analysis and its Applications. Its goal is to provide participants with the opportunity to put into practice the methods seen during the training and to apply them on their own data sets using their own statistical software.