Master prescriptive analytics and optimization techniques for business decision-making, from portfolio management to supply chain optimization.
Master prescriptive analytics and optimization techniques for business decision-making, from portfolio management to supply chain optimization.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Analytics for Decision Making Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(48 ratings)
5,894 already enrolled
Instructors:
English
21 languages available
What you'll learn
Learn to formulate and solve linear optimization problems
Master portfolio optimization and cash flow management
Develop optimal supply chain and logistics solutions
Create efficient workforce scheduling plans
Optimize production mix and resource allocation
Skills you'll gain
This course includes:
4.7 Hours PreRecorded video
8 assignments
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 modules in this course
This comprehensive course connects data analysis with mathematical modeling to solve real-world business problems. Students learn to apply linear optimization techniques across various domains including finance, supply chain, human resources, and manufacturing. Through hands-on exercises in Excel, participants develop skills in formulating and solving complex decision problems, from investment portfolio optimization to production planning and workforce scheduling. The course emphasizes practical applications and includes industry-relevant case studies, making it valuable for business analysts and decision-makers.
LPs for Financial Decisions
Module 1 · 4 Hours to complete
LP for Supply Chain Decisions
Module 2 · 2 Hours to complete
LP for Staffing Decisions
Module 3 · 3 Hours to complete
LP for Production Decisions
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Pioneering Researcher in Internet Economics and Data Analytics
Dr. Soumya Sen is an Associate Professor of Information & Decision Sciences at the Carlson School of Management, University of Minnesota, where he integrates his extensive background in engineering and business to explore the intersections of technology and society. He earned his B.E. in Electronics and Instrumentation Engineering from BITS-Pilani, India, followed by an M.S. and Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania, where he collaborated with faculty from both engineering and the Wharton School. His multidisciplinary research focuses on Internet economics, communication systems, and social networks, employing advanced quantitative methods to analyze complex data sets. Dr. Sen's work has garnered recognition in top academic journals and media outlets like The Wall Street Journal and MIT Technology Review. He has received numerous accolades, including the INFORMS ISS Design Science Award and the IEEE INFOCOM Best Paper Award. As the founder of the Smart Data Pricing Forum, he promotes collaboration between academia and industry on Internet pricing research. Additionally, he co-founded DataMi, a startup providing innovative Internet pricing solutions for telecom providers. Dr. Sen's commitment to education is reflected in his leadership roles within various academic programs, where he continues to inspire students through his research and teaching initiatives.
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4.8 course rating
48 ratings
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