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This document details a course on Geometric Data Analysis, focusing on Multiple Correspondence Analysis (MCA) techniques and their applications, particularly in analyzing categorical variables through various examples and datasets. The course is conducted by Brigitte Le Roux in Uppsala from November 20 to 22, 2023.
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The GDA course, or General Data Analysis course, is an educational program designed to teach participants about data analysis techniques and tools.
Individuals or organizations that deal with substantial amounts of data and need to comply with data analysis regulations are required to file the GDA course.
To fill out the GDA course, participants need to follow the assigned curriculum, complete any necessary assignments, and submit their final analyses as instructed by the course guidelines.
The purpose of the GDA course is to equip individuals with the skills necessary to analyze data effectively and make informed decisions based on data insights.
Participants must report data findings, methodologies used for analysis, and conclusions drawn from the data throughout the GDA course.
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