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Voltar para Modeling Risk and Realities

Comentários e feedback de alunos de Modeling Risk and Realities da instituição Universidade da Pensilvânia

4.6
estrelas
2,127 classificações

Sobre o curso

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....

Melhores avaliações

JN

12 de abr de 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

18 de dez de 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 de 304 Avaliações para o Modeling Risk and Realities

por Daniel K H

17 de mai de 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).

por Washington A D

1 de abr de 2018

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

por Morgan S

21 de abr de 2018

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

por Neha K

6 de ago de 2017

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

por Michael L

26 de dez de 2016

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

por Ian M

24 de jan de 2021

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

por D A K

23 de nov de 2019

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

por Noah B

19 de abr de 2016

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

por Carlos P

17 de jun de 2020

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

por Xiaojun W

11 de dez de 2020

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

por Jakob P

11 de jul de 2017

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

por sajjad s

26 de fev de 2021

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

por Andrew S

28 de jun de 2019

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

por Mariano C

12 de set de 2019

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

por Caio G M

11 de mai de 2017

The last week was a quite bit confunsing.

The rest was pretty good!

por Ghanshyam

30 de abr de 2017

Useful for business risk analysis and modeling complex problem.

por Sandeep C

5 de fev de 2017

Great course and with lots of techniques for modeling in Excel

por vishnu v

14 de ago de 2019

Good lecture. Enjoyed the tutorial on binomial distributions

por Zixiao Z

28 de mai de 2018

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

por Jiayue W

2 de ago de 2016

4.5 stars actually. Good overview of modeling risk.

por Fereshteh A

22 de abr de 2019

I was hoping for more complex modeling techniques.

por Mohammed A K

12 de dez de 2016

Very Knowledgeable content and easy to understand.

por Emilio v D

20 de set de 2018

Week 3 was challenging, otherwise great program.

por SARANSH D

27 de fev de 2020

It could be better explained by professors.

por RAJ K A

11 de out de 2016

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