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Avis et commentaires pour d'étudiants pour Modeling Risk and Realities par Université de Pennsylvanie

4.6
étoiles
1,840 évaluations
265 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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176 - 200 sur 259 Avis pour Modeling Risk and Realities

par Alan H

Apr 22, 2020

Some of the course repeated other courses in the Business and Financial Modeling Specialization (and they sometimes repeated themselves within the course), but overall I found it very well-organized. The last week of the course really brings all concepts together.

par Jean-Philippe M

May 13, 2020

The course was really interesting, sadly the 3 week was lacking of real application and make it difficult to be able to answer the quiz without going on internet and looking for more clear information. Still a great course.

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 Martin S

Apr 26, 2020

Highly focused on statistics and distribution's fitness onto models, this module will allow you to acquire a toolkit to decide whether wich distribution fits best in your reality, and apply it successfully.

par SIYUAN Y

Feb 19, 2019

The content is very clear except in week 3. It is too theoretical and doesn't have any example to support. While I asked some questions in forum, there is no staff come to help me to solve my questions.

par Chibuike O

Feb 21, 2020

one of the best, as a data analyst this course will give you the necessary knowledge needed in business intelligence and financial modelling. The last week was very challenging but apt.

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 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 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 José L R C

Mar 12, 2020

Sergei should be more empathic, sometimes it feels boring; despite of that the entire course is great.

I would have love to practise a little bit more of simulation.

par DIANA O

Apr 22, 2020

Overall very interesting. Just week 3 was very hard to understand and the quiz had NOTHING to do with what the professor was explaining. He was very disorganized

par Douglas J

Dec 08, 2019

Overall very interesting, though the teachers waffle a bit at times and question 4 in the final test is not of an acceptable standard for a fixed course.

par Jason K

Dec 06, 2019

Good course, explanations sometime a bit hard to follow, but came away with a pretty solid understanding of how to run constraint optimizations in Excel.

par Alejandra C

Jun 14, 2017

It's hard to understand an accent and learn a brand new material at the same time. Having subtitles was very much helpful. Great course overall, thanks!

par mehul b

Oct 21, 2016

Professor Senthil ruined Week 3 with no explanation and reading exactly the same story from the slides. Rest course is interesting and engaging. Thanks.

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 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).

par Washington D

Apr 01, 2018

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

par Morgan S

Apr 21, 2018

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

par Neha K

Aug 07, 2017

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

par Michael L

Dec 27, 2016

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

par 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

par Noah B

Apr 20, 2016

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

par Jakob P

Jul 11, 2017

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

par Andrew S

Jun 29, 2019

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