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学生对 University of Pennsylvania 提供的 Modeling Risk and Realities 的评价和反馈

4.6
2,219 个评分

课程概述

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....

热门审阅

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.

J

Nov 27, 2019

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.

筛选依据:

251 - Modeling Risk and Realities 的 275 个评论(共 318 个)

创建者 Ghanshyam

Apr 30, 2017

Useful for business risk analysis and modeling complex problem.

创建者 Sandeep C

Feb 5, 2017

Great course and with lots of techniques for modeling in Excel

创建者 vishnu v

Aug 14, 2019

Good lecture. Enjoyed the tutorial on binomial distributions

创建者 Zixiao Z

May 28, 2018

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

创建者 Jiayue W

Aug 2, 2016

4.5 stars actually. Good overview of modeling risk.

创建者 Fereshteh A

Apr 22, 2019

I was hoping for more complex modeling techniques.

创建者 Mohammed A K

Dec 12, 2016

Very Knowledgeable content and easy to understand.

创建者 Emilio v D

Sep 19, 2018

Week 3 was challenging, otherwise great program.

创建者 SARANSH D

Feb 27, 2020

It could be better explained by professors.

创建者 RAJ K A

Oct 11, 2016

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

创建者 Alejandro A

Jun 26, 2016

Muy buen curso, excelente material

创建者 Tarun S R

Apr 21, 2019

Teacher are good in this season.

创建者 Thiago M

Aug 11, 2016

Good, but gives the very basics.

创建者 Elisa G

Feb 5, 2019

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创建者 Carlo D R

Nov 17, 2019

In few pills big contents!

创建者 Zhao y

Jun 25, 2017

Pretty Useful

创建者 Harshit B

May 26, 2017

Nice course!

创建者 Zihui W

Aug 21, 2016

Too easy....

创建者 Pedro N

Apr 8, 2023

very useful

创建者 andy t

Oct 24, 2016

THANK YOU!

创建者 Joan S

Feb 16, 2020

Poor!

创建者 Luis E H A

Mar 19, 2017

great

创建者 Alan I B

Jun 23, 2020

G

创建者 Valentin Z

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...