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学生对 宾夕法尼亚大学 提供的 Modeling Risk and Realities 的评价和反馈

2,150 个评分


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....



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.


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.


226 - Modeling Risk and Realities 的 250 个评论(共 306 个)

创建者 Alexis R A

Jun 6, 2020

Good course, watch out for week 3, it's a bit hard to follow, but otherwise good. You will learn quite a lot about simulations and decision making.

创建者 Daniel K H

May 17, 2016

Great content! My only suggestion would be a more in-depth course over a 2 or 3 month period (with the price adjusted accordingly).

创建者 Washington A D

Apr 1, 2018

It's an important introduction course to modeling risks. Even not a complex examples we could see the basic theory to this topic.

创建者 Morgan S

Apr 21, 2018

Lectures covered many applicable statistical topics. Professor could've explained a couple conclusions in greater depth.

创建者 Neha K

Aug 6, 2017

Course was good. would have liked more depth into the theory. Really appreciated the practical focus though.

创建者 Michael L

Dec 26, 2016

Well taught. The material and exams were challenging but well aligned. Best to playback at 1.25-1.5 though.

创建者 Ian M

Jan 24, 2021

Great step-by-step explanations, although the assumed level of maths was not clear going in to the course.

创建者 D A K

Nov 23, 2019

Good learn in modeling but some questions in quiz in week#4 is needed to tweak language to comprehension

创建者 Noah B

Apr 19, 2016

Some good sections of the course, but others are not explained well at all. Overall valuable material

创建者 Carlos P

Jun 17, 2020

Good course, considering the lenght of it. Do not expect a torought and detailed one, though.

创建者 Xiaojun W

Dec 11, 2020

Very clear structure, very well-explained! However, the course is relatively simple

创建者 Jakob P

Jul 11, 2017

The topics are introduced carefully and several examples are given. Easy to follow.

创建者 sajjad s

Feb 26, 2021

The course could be a little more difficult and include more sophisticated issues

创建者 Andrew S

Jun 28, 2019

Great course very interesting. One of the lectures is very hard to understand.

创建者 Mariano C

Sep 12, 2019

Bit of a challenge especially coming down to the end but worth the effort.

创建者 Caio G M

May 11, 2017

The last week was a quite bit confunsing.

The rest was pretty good!

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 20, 2018

Week 3 was challenging, otherwise great program.


Feb 27, 2020

It could be better explained by professors.