Machine learning (ML) has emerged as a central area of artificial intelligence (AI) research and is foundational for professional knowledge in the field. Professionals such as business analysts, data scientists, and AI engineers at all levels are expected to understand and apply machine learning. This course provides a broad overview of commonly used machine learning (ML) techniques in data analysis, introducing the fundamental skills required to design, implement, and evaluate core statistical learning methods. Emphasis is placed on hands-on application to real-world datasets using advanced Python-based tools commonly employed in industry.

This course can be used to fulfil either the "Technical" Professional Requirement or the "Critical Perspective" Professional Requirement.