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.
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MODELING RISK AND REALITIES からの人気レビュー
covers good amount of material and exactly what is in the outline, presented with enough detail to follow. Good walk-through of the spreadsheets helps understanding, easy to follow along and practice.
Material was very well presented. Week 3 was challenging, but taking time to print out the slides, work through them rigorously proved very helpful. I found all sections very, very informative.
Tough course but challenging in a good way. This course challenges you to think differently and will improve your skillset in many areas including analysis, critical thinking, and numbers.
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.
one of the best, as a data analyst this course will give you the necessary knowledge needed in business intelligence and financial modelling. The last week was very challenging but apt.
This course is very informative and maintains a good pace for the learner. Although it might not be challenging enough. I still recommend it to anyone wanting to learn this material.
Really great course! Learnt a lot, more than promised by the course description. The course instructors are really good and very articulate. Thoroughly pleased with the course!
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
Great examples, the best course of the specialization so far.\n\nWeek 3 was a little bit slow. I think it was going through some theory that was already covered by course 1.
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.
Not too bad of a course. Fairly beginner but there is some interesting things to learn. I would recommend watching the videos at 1.5x speed because they speak fairly slow.
The professors are amazing. I could grasp all the concepts easily because of the good pace maintained by the professors. Thank you so much for this course!
Overall very interesting, though the teachers waffle a bit at times and question 4 in the final test is not of an acceptable standard for a fixed course.
Good course, explanations sometime a bit hard to follow, but came away with a pretty solid understanding of how to run constraint optimizations in Excel.
It's hard to understand an accent and learn a brand new material at the same time. Having subtitles was very much helpful. Great course overall, thanks!
Professor Senthil ruined Week 3 with no explanation and reading exactly the same story from the slides. Rest course is interesting and engaging. Thanks.
The course was what I expected it to be. I was desperately looking for enlightenment in model risk and realities which was well delivered in the course.
Excellent course. Great and useful examples given by instructors. Also, very helpful that editables files used in examples are available for students.
A well-structured and practice-oriented course with a few useful practical tips about Excel-based business models focusing on risk and reward aspects.
Good information on the use of spreadsheets. I had difficulty in Modules 3 & 4 on spreadsheet usage. Could tie instruction closer to quiz questions.
ペンシルベニア大学（University of Pennsylvania）
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
Business and Financial Modeling専門講座について