Data Science for Agile Supply Chains

Modern global supply chains face constant disruption, making agility and data-driven decision-making more critical than ever. In this text-based course, you will learn how to leverage data science techniques to transform traditional supply chain data into actionable insights, helping you predict demand, optimize inventory levels, and respond quickly to market changes. What you'll learn: - Understand foundational data science concepts and terminology specific to supply chain operations. - Analyze inventory and logistics data using modern dataframe libraries like Pandas to uncover hidden inefficiencies. - Apply basic predictive modeling and forecasting techniques to anticipate demand shifts and reduce stockouts. - Evaluate supply chain risk and resilience using data-driven scenario analysis. - Design key performance indicators (KPIs) and data-backed strategies to improve overall supply chain agility. The course starts with essential supply chain definitions and data fundamentals before guiding you through data preparation, demand forecasting, and inventory optimization workflows using practical, written code examples and scenarios. This course is designed for beginners, supply chain professionals, and aspiring data analysts, requiring no prior data science experience. Start reading today to build a more resilient, responsive, and data-driven supply chain.