Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. In this course, you can learn how to create quantitative models to reflect complex realities, and how to include in your model elements of risk and uncertainty. You’ll also learn the methods for creating predictive models for identifying optimal choices; and how those choices change in response to changes in the model’s assumptions. You’ll also learn the basics of the measurement and management of risk. By the end of this course, you’ll be able to build your own models with your own data, so that you can begin making data-informed decisions. You’ll also be prepared for the next course in the Specialization.
This course is part of the Business and Financial Modeling Specialization
Offered By


About this Course
Skills you will gain
- Modeling
- Risk
- Microsoft Excel
- Simulation
Offered by
Syllabus - What you will learn from this course
Week 1: Modeling Decisions in Low Uncertainty Settings
Week 2: Risk and Reward: Modeling High Uncertainty Settings
Week 3: Choosing Distributions that Fit Your Data
Week 4: Balancing Risk and Reward Using Simulation
Reviews
- 5 stars70.80%
- 4 stars21.59%
- 3 stars5.83%
- 2 stars1.15%
- 1 star0.60%
TOP REVIEWS FROM MODELING RISK AND REALITIES
4 starts only because Week 3 lecturer is not good at all. hard to follow, leaves things on slides unexplained. throws bunch of formulas forever without showing it in excel.
Great examples, the best course of the specialization so far.
Week 3 was a little bit slow. I think it was going through some theory that was already covered by course 1.
Awesome couse for learning applications of statistics in real world problems. They show how can we optimize the results using the most common tool among all business environments: excel.
I thoroughly enjoyed this course. I not only learned a lot in terms of ability to use Excel and am now better equipped to approach data in certain (and uncertain) situations
About the Business and Financial Modeling Specialization

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