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Supply Chain Analytics: Data-Driven Decision Making
Master core analytical methods for supply chain management, including statistics, probability, and optimization, with hands-on practice using real-world cases.
Master core analytical methods for supply chain management, including statistics, probability, and optimization, with hands-on practice using real-world cases.
This comprehensive course introduces essential analytical methods and tools for effective supply chain management. Students learn to apply probability models, statistical analysis, and optimization techniques to real supply chain challenges. The curriculum emphasizes practical application through extensive use of spreadsheets and case studies from actual supply chains. The course covers probability and decision analysis, statistics, regression, and various optimization modeling approaches, providing students with hands-on experience in solving complex supply chain problems. Part of MIT's MicroMasters in Supply Chain Management, this course develops critical analytical skills for supply chain professionals.
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(257 ratings)
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What you'll learn
Apply probability models to analyze supply chain uncertainty
Use statistical methods to evaluate supply chain performance
Develop optimization models for supply chain decision-making
Master spreadsheet modeling for practical problem-solving
Formulate and solve linear and non-linear programming problems
Analyze real-world supply chain cases using analytical tools
Skills you'll gain
This course includes:
Live video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This hands-on course develops proficiency in key analytical methods used in supply chain management. Students learn to apply probability models, statistical analysis, and optimization techniques through extensive use of spreadsheets and real-world case studies. The curriculum covers fundamental analytical approaches including probability theory, decision analysis, statistical methods, regression analysis, and various forms of optimization modeling. The course emphasizes practical application over theoretical concepts, preparing students to tackle real supply chain challenges.
Fee Structure
Instructor
11 Courses
Director of the MITx MicroMasters Program in Supply Chain Management
Dr. Chris Caplice is the Director of the MITx MicroMasters Program in Supply Chain Management and a Senior Research Scientist at the MIT Center for Transportation & Logistics (CTL). With over a decade of teaching experience in logistics and supply chain management at MIT, he oversees research, education, and corporate outreach initiatives at CTL. Under his leadership, the MicroMasters program has attracted over 430,000 students from 196 countries since its launch in 2015, awarding nearly 3,000 credentials.
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4.5 course rating
257 ratings
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