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Avis et commentaires pour l'étudiant pour Modeling Risk and Realities par Université de Pennsylvanie

4.6
1,527 notes
206 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

JN

Apr 13, 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

Dec 19, 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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76 - 100 sur 200 Examens pour Modeling Risk and Realities

par Yazi L

Jul 08, 2018

Lots of excel scenarios to practice, very hands on. Thank you Wharton for this great course design!

par Crystal N

Dec 11, 2016

WEEKS 1, 2, and 4 were AWESOME and had great information. Weeks 1,2, and 4 were very detailed and successfully communicated in a manner where an audience with or without a specialty in statistics can easily follow the logic, understand the purpose and think of how these tools/lessons can be applied in the varying worlds of risk, compliance, algorithms, and finance.

I cannot say the same for week 3. Sadly, out of the whole certificate program it was this was the week I was most interested in (e.g. Goodness of Fit and identifying the Distribution of one's data) but, felt the week was poorly communicated, not supplemented with sufficient (if any) examples that one could tie into the real world, did not provide sufficient excel formulas, explanations, visuals or examples.

par Byron C

Apr 21, 2018

Very interesting...great course.

par Michael A

Apr 30, 2018

Excellent instruction: slides and lectures are well coordinated. Material is interesting and the test re-enforce the slides and lectures.

par Jonathan I O

Jul 14, 2017

Awesome course!

par Vishal M

May 23, 2016

brilliant

par Shivanand R K

Jun 18, 2016

Excellent thoughts and concepts presented.

par Dmitry P

Aug 09, 2017

A well-structured and practice-oriented course with a few useful practical tips about Excel-based business models focusing on risk and reward aspects.

par Liu Y

Oct 28, 2017

I like it

par Sergio D

Feb 10, 2018

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

par Blerina M

May 15, 2018

Both Professors were clear and explaining at a pace that I could follow and understands. Great job both!!

par S S P

Mar 11, 2018

Hats off to the instructors.Thank you sirs.

par Guilherme C

Apr 30, 2018

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

par John D

Nov 10, 2017

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

par Arti R G

Aug 21, 2017

Excellent course! very well taught by both the instructors

par Siddharth B

Jun 04, 2018

Through this course I learned how to ascertain the riskiness and returns of the project through statistics and financially. The Statistics portion was bit harder but the course structure was very easy and understandable. The course is truly good.

par Tatsiana M

Jun 08, 2018

I absolutely loved this course. Both professors are very methodical and clear. They covered material in an amazing way. I learned many new things by taking this course.P.S. I think that the second course in this track needs to be deleted. It makes the whole track worse and not better.

par Shrenik V Z

Jan 10, 2018

best

par AGUSTIN G A

Oct 29, 2017

It was a very interesting course. Thanks to Sergei Savin and Senthil Veeraraghavan for the excellent explanation!

par Gerard E

May 27, 2017

Really excellent course that thought me a lot. It also builds on all of the previous modules.

par Zhen Y

Jan 22, 2018

simple but useful!

par Stefanie L S O

Sep 01, 2017

Great course

par Karl S

Mar 08, 2018

I thought that this course was tremendously helpful, as it really drove home how to execute simulations which is something that I had considered but not really utilized before.

par Andrew T

Sep 01, 2017

Very helpful examples

par Vishesh K

Sep 23, 2017

Great explanation style of both the professors. Highly recommended.