As organizations increasingly rely on data-intensive technologies, managers must understand the technical foundations of analytics and how artificial intelligence tools are used to extract insight from data. This course introduces the technical principles underlying data analytics, including data acquisition and preparation, exploratory analysis, predictive modeling and the use of AI and machine learning techniques to analyze complex datasets. Students apply analytical tools to generate predictions and recommendations, with particular attention to practical implementation in business contexts. The course also explores the role of AI-based tools in enhancing analytical workflows and decision-making. Credits: 4