Modeling Risk and Realities
Master quantitative modeling techniques for business decision-making under uncertainty using Excel.Modeling Risk and Realities
Master quantitative modeling techniques for business decision-making under uncertainty using Excel.Modeling Risk and Realities
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 Business and Financial Modeling 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.
4.6
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English
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What you'll learn
Build optimization models for business decisions
Analyze and manage risk using quantitative methods
Create and interpret data visualizations
Conduct simulations for decision-making
Evaluate different probability distributions
Skills you'll gain
This course includes:
4.05 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course teaches how to create quantitative models for complex business decisions under uncertainty. Students learn to build optimization models, work with probability distributions, and conduct simulations using Excel. The curriculum covers essential topics including risk analysis, data visualization, hypothesis testing, and simulation techniques. Through practical examples and hands-on exercises, learners develop skills to make data-informed decisions in various business scenarios while considering risk and uncertainty factors.
Modeling Decisions in Low Uncertainty Settings
Module 1 · 1 Hours to complete
Risk and Reward: Modeling High Uncertainty Settings
Module 2 · 1 Hours to complete
Choosing Distributions that Fit Your Data
Module 3 · 2 Hours to complete
Balancing Risk and Reward Using Simulation
Module 4 · 1 Hours to complete
Fee Structure
Instructors
Associate Professor of Operations, Information and Decisions
Sergei Savin is an Associate Professor of Operations, Information and Decisions at The Wharton School, University of Pennsylvania. His research focuses on the operational aspects of healthcare delivery, particularly in improving patient access to care and optimizing diagnostic and treatment capacity. His scholarly work has been published in leading journals such as Management Science, Operations Research, and Manufacturing and Service Operations Management. Additionally, he actively participates in editorial activities for several premier journals, contributing to the advancement of knowledge in operations management.At Wharton, Professor Savin teaches a Ph.D. course on optimization, as well as core MBA and undergraduate courses on Business Analytics and Operations and Information Management. He has received recognition for his teaching excellence and is dedicated to equipping students with the analytical skills necessary for effective operations management. With a background that includes a Ph.D. from Carnegie Mellon University and a degree from the Indian Institute of Technology, Bombay, Savin combines rigorous academic training with practical insights into healthcare operations, making significant contributions to both research and education in the field.
Associate Professor of Operations, Information and Decisions
Senthil Veeraraghavan is an Associate Professor of Operations, Information and Decisions at The Wharton School, University of Pennsylvania. His research focuses on the role of information and uncertainty in operations management, particularly examining consumer behavior in queues and service environments. Veeraraghavan's work has been published in prominent journals such as Management Science, Operations Research, and Production and Operations Management. Notably, he received the Best Operations Paper award in 2013 for his research on quality-speed tradeoffs in healthcare services.In addition to his research, Professor Veeraraghavan teaches courses on Operations Strategy and Operations Management, earning Wharton Excellence in Teaching Awards in both 2013 and 2014. He holds a Bachelor's degree from the Indian Institute of Technology, Bombay, and a Ph.D. from Carnegie Mellon University. At Wharton, he offers courses such as "Modeling Risk and Realities" and "Operations Analytics," where he equips students with analytical skills to navigate complex operational challenges. Through his contributions to academia and industry, Senthil Veeraraghavan plays a significant role in advancing the field of operations management.
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4.6 course rating
2,195 ratings
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