This course focuses on data science techniques, analytical toolboxes and business applications in supply chain and marketing management. The course is structured as a combination of lectures, in-class ...

Covers fundamentals of performance analysis for various operational issues encountered in real-life supply chain processes. The major topics include demand forecasting techniques, sales and operations ...

The curriculum of the MS Supply Chain Analytics integrates big data analytics with supply chain quantitative methods, giving you the technical and qualitative skills essential to becoming an expert in ...

Online companies and brick-and-mortar retailers alike depend on supply chain professionals to maximize efficiency in each step of the production process. Results of successful supply chain management ...

Leeds offers students the option to get their MS Supply Chain Analytics degree via a combination of synchronous and asynchronous remote coursework. Designed for working professionals, the online ...

Due to significant overlap in course content, students cannot take both this course and the fall term half-semester Supply Chain Analytics course. This course is appropriate for students interested in ...

Through AI-powered processes, like data analysis, predictive models, and optimization techniques, fantasy football fans have the power to make better decisions.

As businesses confront complex challenges in supply chain management and operational efficiency, the demand for skilled ...

This course provides a foundation for analytical concepts, techniques and tools required for supply chain decision-making. Participants learn the basic concepts of analytics and acquire the necessary ...

Major logistics providers have long relied on analytics and research ... explores the vast impact that AI techniques like machine learning will have on the supply chain and logistics space.

Supply Chain Analytics also builds on aspects of the first-year Data Science for Managers (RC DSM) course. However, whereas RC DSM focuses primarily on mechanics and applications of particular data ...