Machine Learning For Management - Eva Fachria, S.E., M.S.M.

This pre-university program introduces students to the fundamentals of Machine Learning within a managerial and business context. As data becomes one of the most valuable assets in modern organizations, future managers must understand how to leverage data-driven technologies for strategic decision-making.

The program explores how Machine Learning helps organizations analyze large and complex data, automate processes, improve prediction accuracy, and gain competitive advantage. Students will learn the difference between Artificial Intelligence and Machine Learning, understand supervised and unsupervised learning approaches, and examine real-world applications such as credit scoring, customer lifetime value prediction, fraud detection, and recommendation systems.

Participants are also introduced to the business formulation process of Machine Learning—from identifying problems and understanding data to modeling, evaluation, and deployment. The course includes an introduction to Python and essential data science libraries commonly used in industry.

Designed for management students, this program bridges business knowledge, statistics, and technology—preparing future leaders to make smarter, faster, and more consistent decisions in a data-driven world.