This Supply Chain Analytics course gives us an idea of the role of Supply Chain Analytics as a process enhancer in Digital Transformation, Smart Factories, and Industrial Revolution 4. There are different types of Supply Chain Analytics approaches employed like Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Cognitive Analytics. Data Analytics is being used to optimize transportation management. Companies are using simulation techniques for supply chain management activities. Data analytics is used to plan facility location, design supply chain networks, and to evolve various metrics. In this course, students will learn discrete choice modeling to forecast demand-supply. The use of machine learning approaches to simplify bottlenecks in the supply chain is elaborated. Time Series Analysis and Data Visualization also are included as part of the course curriculum. This course will show how existing analytical techniques and methods can be enhanced by Data Science and Machine Learning techniques to better design and manage the supply chains. Supply chains are riddled with complexity that spans various departments, enterprises and sometimes