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Avis et commentaires pour d'étudiants pour Modeling Risk and Realities par Université de Pennsylvanie

2,018 évaluations
294 avis

À propos du cours

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....

Meilleurs avis

12 avr. 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.

18 déc. 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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226 - 250 sur 287 Avis pour Modeling Risk and Realities

par Ghanshyam

30 avr. 2017

Useful for business risk analysis and modeling complex problem.

par Sandeep C

5 févr. 2017

Great course and with lots of techniques for modeling in Excel

par Vishnu C V

14 août 2019

Good lecture. Enjoyed the tutorial on binomial distributions

par Zixiao Z

28 mai 2018

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

par Jiayue W

2 août 2016

4.5 stars actually. Good overview of modeling risk.

par Fereshteh A

22 avr. 2019

I was hoping for more complex modeling techniques.

par Mohammed A K

12 déc. 2016

Very Knowledgeable content and easy to understand.

par Emilio v D

20 sept. 2018

Week 3 was challenging, otherwise great program.


27 févr. 2020

It could be better explained by professors.

par RAJ K A

11 oct. 2016

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

par Thu P

23 févr. 2018

Much detailed! Very easy to follow.

par Alejandro A

26 juin 2016

Muy buen curso, excelente material

par Tarun S R

22 avr. 2019

Teacher are good in this season.

par Thiago H R M

11 août 2016

Good, but gives the very basics.

par Elisa G

5 févr. 2019































par Carlo D R

17 nov. 2019

In few pills big contents!

par Zhao y

25 juin 2017

Pretty Useful

par Harshit B

26 mai 2017

Nice course!

par Zihui W

21 août 2016

Too easy....

par andy t

24 oct. 2016


par Joan S

16 févr. 2020


par Luis E H A

20 mars 2017


par Alan I B

23 juin 2020


par Valentin Z

2 oct. 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...

par abaluodufa

6 févr. 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.