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Modeling Risk and Realities に戻る

ペンシルベニア大学(University of Pennsylvania) による Modeling Risk and Realities の受講者のレビューおよびフィードバック

4.6
2,123件の評価
309件のレビュー

コースについて

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....

人気のレビュー

JN

2018年4月12日

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

2016年12月18日

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.

フィルター:

Modeling Risk and Realities: 76 - 100 / 304 レビュー

by Vasko B

2016年5月26日

Very useful course especially the last part: Balancing Risk and Reward Using Simulation

by Zacharias L

2017年5月27日

Very good understanding of how excel models of optimization work in reality problems.

by Adrian J M S

2019年2月20日

Great to get in the world of real uncertainty and model designing, great profeessors

by John D

2017年11月9日

Very helpful, practical tools that will help in a broad range of business problems.

by Guilherme C

2018年4月30日

Great course for those who want to know more about risk modelling. I recommend it.

by Xiao L

2017年11月22日

I find the course very useful and the examples are very well designed. Thank you !

by Niket J

2019年1月22日

Excellent illustrations on Excel. However, in my opinion, Week 3 can be improved.

by Mariam M

2020年1月16日

Very Good Course! Well structured and well explained. I can highly recommend it.

by Emmanuel O B

2017年9月16日

Exceptional delivery of course body of knowledge. Thank you to the team. Cheers!

by Mesa I N

2019年4月10日

Submission with straightforward and easy to understand and structured language.

by Axel D

2018年1月22日

Quiz test for course 3/4 may be quite confusing for non-native english speakers

by Dimitar P

2018年10月23日

A very useful course mainly because it shows to its audience a way of thinking

by Ashish k j

2019年2月2日

So nice it provide concept how to deals with the risk associated with market.

by Mohammad I

2018年1月18日

Amazing professors helped me to understand the concepts in a much better way

by Shane L

2017年11月2日

Revisited the course from time to time. Good lesson for data analysis work.

by Mthokozisi C M

2017年7月8日

it was the most difficult and demanding so far, but i really did enjoy it.

by Sergio D

2018年2月10日

Great Course. Some problems faced with my Excel Analysis Toolpack on Mac.

by CHANDAN K

2016年6月23日

It is great.Teaches how it can be actually done in Excel without SAS & R.

by Brenton M

2017年5月11日

Great course to get into the actual uncertainty of modeling risk/reward.

by Donny

2020年5月27日

This course is very insightful, but week 3 is a bit hard to understand.

by Jonathan G

2016年7月12日

Re-watching these videos months after completing the course! Fantastic!

by Saikrishna E

2020年3月29日

This course is informative and useful. I thoroughly enjoyed learning.

by Renee M

2020年7月8日

So far, this has been the best course that I have taken on Coursera.

by Akshay S

2020年4月28日

this module should be the benchmark of how online teaching should be

by Frank-Nelson M

2020年4月10日

Learned some valuable concepts about modeling risk and uncertainty.