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Learner Reviews & Feedback for Modeling Risk and Realities by University of Pennsylvania

4.6
stars
2,185 ratings

About the Course

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....

Top reviews

JN

Apr 12, 2018

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.

LC

Dec 18, 2016

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.

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251 - 275 of 315 Reviews for Modeling Risk and Realities

By Zixiao Z

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May 28, 2018

this is a good course but it's not that informative

By Jiayue W

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Aug 2, 2016

4.5 stars actually. Good overview of modeling risk.

By Fereshteh A

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Apr 22, 2019

I was hoping for more complex modeling techniques.

By Mohammed A K

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Dec 12, 2016

Very Knowledgeable content and easy to understand.

By Emilio v D

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Sep 20, 2018

Week 3 was challenging, otherwise great program.

By SARANSH D

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Feb 27, 2020

It could be better explained by professors.

By RAJ K A

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Oct 11, 2016

Nice course. But's it's a bit too simple.

By Thu P

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Feb 23, 2018

Much detailed! Very easy to follow.

By Alejandro A

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Jun 26, 2016

Muy buen curso, excelente material

By Tarun S R

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Apr 22, 2019

Teacher are good in this season.

By Thiago M

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Aug 11, 2016

Good, but gives the very basics.

By Elisa G

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Feb 5, 2019

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By Carlo D R

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Nov 17, 2019

In few pills big contents!

By Zhao y

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Jun 25, 2017

Pretty Useful

By Harshit B

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May 26, 2017

Nice course!

By Zihui W

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Aug 21, 2016

Too easy....

By Pedro N

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Apr 8, 2023

very useful

By andy t

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Oct 24, 2016

THANK YOU!

By Joan S

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Feb 16, 2020

Poor!

By Luis E H A

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Mar 19, 2017

great

By Alan I B

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Jun 23, 2020

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By Valentin Z

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Oct 2, 2017

There are good and bad things to say about this part of the "specialization". The good ones (in general thanks to Sergey) are that sometimes during this course you learn something new and useful. But not much... One can hardly say that you will get some sort of "specialization" through these 5 courses. It's highly inconsistent. I'm sorry to say that but it's not the Harvard level of education (at least I hope that the Harvard level is much higher). This part is still far from the wonderful introduction by Professor Waterman. And the 3rd week of this part is a total fiasco: we all know how to read, and mechanical reading from the screen by the teacher doesn't give anything for knowledge. I also didn't understand the part about 'time constrains' as a pretext to describe only normal and uniform distributions (we can read anywhere about these two probability distributions... but where is the value-added product of the teachers?). I would say that selecting the same (very long) range in Excel with a mouse cursor seven times in one lesson is total waste of time that could be spent more effectively. At last, the final quizes are sort of childish: the questions are written in in a very bad style (apparently to complicate understanding) but the real answers are mostly simple arithmetic...

By abaluodufa

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Feb 6, 2019

This course deserves a 5 star rating because of Prof. Savin but because of Prof Veeraraghavan, I gave it a 3.

Prof Savin's attention to detail and ability to explain complex concepts in a simple way is a gift indeed. He taught week 1, 2 and 4.

Week 3 with Prof Veeraraghavan however, was a different ballgame. Week 3 was an overload of theoretical statistical probability concepts with little or no explanation whatsoever. No explanation on reading chi square tables, no explanation on the calculation of pdf and cdf etc. I was lost when it was time for week 3 quizzes and I gained zero knowledge from week 3.I recommend that Prof. Savin creates a new video for week 3 as I am sure he will teach the courses therein much much better.

By Miles Z

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May 17, 2018

The excels presented in Week 3 and 4 were lacking in substance, they didn't really help provide any useful information in real world scenarios. One of the questions in the quiz actually asked for the mode from one of the videos, first of all the mode? That's quite a basic question but on top that you literally have to go back through the videos to find the correct answer. It was quite silly. The first 2 weeks in the course were good, which is why I'm giving it 3 stars. I expect more from Wharton.

By Emmanuel J A

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Jul 10, 2023

Another outstanding course under Professors Veeraraghavan and Savin! I like how the difficulty of the OM topics and examples increased from the material on Operations Analytics. Would have enjoyed it even better if there were a lot of practice exercises and worked problemsets for students to really have hands-on experience in working with Excel. Learned a lot nonetheless!