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

4.6
1,557 notes
208 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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151 - 175 sur 201 Examens pour Modeling Risk and Realities

par Thiago H R M

Aug 11, 2016

Good, but gives the very basics.

par Noah B

Apr 20, 2016

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

par George L Z

Nov 16, 2017

Awesome couse for learning applications of statistics in real world problems. They show how can we optimize the results using the most common tool among all business environments: excel.

par Ghanshyam

Apr 30, 2017

Useful for business risk analysis and modeling complex problem.

par Jakob P

Jul 11, 2017

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

par Zixiao Z

May 28, 2018

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

par Daniel M

Dec 27, 2017

Good information on the use of spreadsheets. I had difficulty in Modules 3 & 4 on spreadsheet usage. Could tie instruction closer to quiz questions.

par Hasan S R

Oct 27, 2016

Please allow Prof. Sergey to take this course. Week 3 was crap because the instructor gave no real-world examples to push home the concepts he was propagating and his english is really hard to comprehend as well.

par Tom d V

Mar 14, 2017

It was an interesting insight. Especially for beginners I would recommend it. Is also suits the previous courses well (Fundamentals of Quantitative Modeling and Introduction to Spreadsheets and Models). I study finance and economics, so it was a bit too basic though. The Excel features are nice though and something that you would use yourself so easy.

par Harshit B

May 26, 2017

Nice course!

par JUAN P R

Nov 10, 2017

really, good, and the excel models, rock!! However week 3 was a little messy, hard to understad, teacher introduced lots of math formulas that came with no explanation, and no use. I dont think this course is for matematicians but for buisness administrators of financial related fields, so getting deeper into math formulas that will never be used is pointless, in real life we will use just excel

par Mohammed A K

Dec 12, 2016

Very Knowledgeable content and easy to understand.

par Tarun S R

Apr 22, 2019

Teacher are good in this season.

par Fereshteh A

Apr 22, 2019

I was hoping for more complex modeling techniques.

par Andrew S

Jun 29, 2019

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

par Nicolas O

Aug 06, 2019

I found useful how to obtain a histogram for discrete distributions. Yet, I think it would have been really important if the professor could have explained more methods to test what kind of distribution the data is related with. All the methods we used relay on know what probability distribution we are working with but if we are not sure which one we have, then the methods would not be as helpful.

par Olga Y

Aug 12, 2019

4 starts only because Week 3 lecturer is not good at all. hard to follow, leaves things on slides unexplained. throws bunch of formulas forever without showing it in excel.

par Vishnu C V

Aug 14, 2019

Good lecture. Enjoyed the tutorial on binomial distributions

par James W

Jul 02, 2019

Not too bad of a course. Fairly beginner but there is some interesting things to learn. I would recommend watching the videos at 1.5x speed because they speak fairly slow.

par Mariano C

Sep 13, 2019

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

par Carlo D R

Nov 17, 2019

In few pills big contents!

par Zijian D

Dec 02, 2018

The second lecturer only read all the text in lecture slide.

par abaluodufa

Feb 06, 2019

This course deserves a 5 star rating because of Prof. Savin but because of Prof Veeraraghavan, I gave it a 3.

Prof Savin's attention to detail and ability to explain complex concepts in a simple way is a gift indeed. He taught week 1, 2 and 4.

Week 3 with Prof Veeraraghavan however, was a different ballgame. Week 3 was an overload of theoretical statistical probability concepts with little or no explanation whatsoever. No explanation on reading chi square tables, no explanation on the calculation of pdf and cdf etc. I was lost when it was time for week 3 quizzes and I gained zero knowledge from week 3.I recommend that Prof. Savin creates a new video for week 3 as I am sure he will teach the courses therein much much better.

par Stanley L W

Mar 06, 2019

the first two lectures are great, but the last two come a little hurry and not illustrate very well

par André I

Oct 06, 2018

the quizzes are not really helpful/relevant.