Courses

Machine learning has become an essential skill for professionals who want to make smarter, data-informed decisions. This course offers a concise, hands-on introduction to the principles and practice of modern machine learning using Python. Students will work through the full lifecycle of a machine learning project, learning how to prepare and analyze data, build and evaluate models, and draw meaningful insights from results. Along the way, we’ll explore regression, classification, and ensemble methods; touch on the fundamentals of neural networks; and consider the ethical dimensions of AI-driven decisions. Real-world case studies from finance, healthcare, and marketing will ground each concept in practice. By the end of the course, students will have both the technical fluency and strategic intuition to interpret, evaluate, and apply machine learning models in their own professional settings.