Business Analytics – Extraction of relevant information from a dataset

In this session, we will focus on Principal Component Analysis (PCA), an algorithm designed to extract the most relevant information from a dataset. By reducing dimensionality, we can work with less data while preserving its most important features. We will explore how PCA presents information and how to interpret its results effectively.

We will use R software for this analysis, and no prior experience with R is required to participate. You’ll discover how R combines ease of use with powerful computing capabilities to generate meaningful insights.