Supervised Machine Learning

Build practical supervised machine learning skills by working through the kinds of tasks you may see in data science, machine learning, and AI-related roles. In this course, you’ll learn how to turn business problems into clear ML tasks, choose the right modeling approach, and build supervised learning models for classification, regression, forecasting, and tabular prediction problems. This is not a traditional lecture-by-lecture course. The experience is organized around workplace skills and job tasks, so you can focus on what you need to perform the work. You’ll start by checking your current skills, then personalize your path by reviewing only the lessons that match your goals and prior knowledge. When you already know a skill, you can move ahead. You’ll learn from curated lessons across expert instructors, with each resource selected for the specific skill it teaches best. By completing this course, you can strengthen your readiness for roles such as data analyst, junior data scientist, machine learning associate, or AI practitioner.