Data Science for Business Decisions: A Manager's Guide

Modern organizations generate massive amounts of data, but raw information is useless without the strategic framework to interpret it. This text-based course equips managers and business leaders with the foundational knowledge to bridge the gap between technical data teams and executive decision-making. You will learn how to identify high-value data opportunities, ask the right questions, and interpret analytical results with confidence. What you'll learn: - Understand core data science terminology, machine learning concepts, and the analytics lifecycle. - Formulate business problems as data science tasks to guide technical teams effectively. - Evaluate predictive models and key performance metrics to ensure they align with organizational goals. - Assess data quality, privacy considerations, and ethical implications in modern analytics. - Recognize how modern AI technologies, including large language models, can be integrated into business workflows. We begin by demystifying technical jargon and establishing key foundational concepts before moving on to practical frameworks for evaluating models and managing data-driven initiatives. This course is designed for managers, team leaders, and business professionals who want to collaborate effectively with data teams, requiring no prior programming or technical background. Start reading today to transform how you use information to drive business growth.