Retour à Modeling Risk and Realities

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2,030 évaluations

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294 avis

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....

JN

12 avr. 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 déc. 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.

Filtrer par :

par deepak m

•25 nov. 2018

good

par Shrenik V Z

•10 janv. 2018

best

par Fu S

•21 déc. 2017

G

par Jack R

•28 mai 2020

Good course that definitely helped me understand the creation and analysis of models using Excel. However, I found that the quizzes did not adequately test my ability to create those models but rather my ability to interpret already created (or mostly created) ones. It would've been far more beneficial if the quizzes, or the lectures themselves, engaged the student to create each model from scratch and then analyze it. My goal in taking this course is to learn how to create models in the first instance and then interpret them in the second - after all, you can't interpret something you weren't able to create in the first place.

par Murugan M K

•9 juin 2017

The quizzes were below average if we come to consider the intended magnitude of learning.

I sincerely would have loved to have some DIY questions for which there was a problem statement and a dataset rather than the quiz asking us to change some number and enter the output from a preset model.

The course could be made a more descriptive, there can be more resources and link like in the previous courses of this specialization.

Although i rate them higher as this course had a lot more content and description as compared to the rest of the introductory courses of this specialization.

par DIONYSIOS Z

•21 nov. 2016

Nice course, probably the best so far in this specialization. I really enjoyed Sergei Savin's lectures - they were simple & clear. Unfortunately, I cannot say the same for Senthil Veeraraghavan's lectures -he tried to explain an introductory 2-3 months statistics course in just one hour-absolute failure. I definitely recommend the course but I would like to see some improvements in the future sessions with more examples on excel instead of reading mathematical formulas from ppt files.

par Clem T

•10 mai 2020

Fascinating material, but one minor complaint. The slides for these Classes were unnecessarily long. We don't require 5 different slides that add one point to a theme. You can give us 1 slide and we can follow along in the proper order. At times, the slides were 60 pages or more, when they could have been 15 or 20. Not very eco-friendly. Its a small point and the education delivered was top notch. Thank you.

par Siddhartha M

•3 déc. 2017

I just wanted to commend Sergei Savin. Throughout the duration of the course he takes his time and explains every step in detail. In addition, he also explains the reason behind what he is doing. I really appreciated the logical approach that he offered. I also wanted to compliment Senthil Veeraraghavan, he did a solid job of explaining the concepts included in the week three sessions. Thank you both!

par Tania G U D

•27 mai 2020

Module 1,2 and 4, excellent modules. Clear information and great content. Powerful modules. Module 3 was confusing and I don't understand how this module 3 matches with the whole specialization program. Explanations do not contain all the information needed and it's difficult to understand. My suggestion is that module 3 can be structured again to have the high quality observed of the entire program.

par Nicolas O

•5 août 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 JUAN P R

•9 nov. 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 Leonel G

•21 mai 2020

The course is good. The explanations and material presented by Prof. Savin are excellent. Unfortunately, I can't say the same for the material and the explanations provided for the sessions conducted by Prof. Veeraraghavan. It is the quality of the sessions conducted by Prof. Savin that give 4 stars to the course. Otherwise the rating would be much lower.

par Tom d V

•14 mars 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 Scott H

•31 mai 2020

Good intro course. I learned how to use excel to build models and optimize output parameters, and how to run simulations using common with inputs derived from common distributions. East to follow, good tests. I did wish there was more depth, like extra credit harder problems that build more complex models that more accurately describe reality.

par Nil D R L

•6 oct. 2016

This was a great course; very good explanations teoretical and practice, you gave us powerful tools to analyze data and took the necesary time for cover the topics. Maybe you can add in the future some exercises that we have to upload for review among each other students. Thank you very much for share this tools and your knowledge.

par Chyngyz S

•20 sept. 2018

I really like how Pr Sergey Savin really trying to explain all the concepts in modeling risks, while other professor just went over his video lectures without good explanations of what's really going on. So I would rate this course just to see the Pr Savin's videos, really worth it.

par Hussein A

•13 avr. 2020

The content was great and informative, was too focused on optimization but I learned a lot of new things I hadn't known before. Week 2 on fitting distributions was somewhat confusing due to the fact that the lecturer wasn't going into enough detail on what he introduced.

par Alan H

•21 avr. 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

•13 mai 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

•27 oct. 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 Snigdha

•5 juin 2020

Introductory course in Risk Modelling to be considered as a gentle introduction to concepts of Expected Return and Standard Deviation in business settings with the use of Excel solver and Data Analysis Toolpak.

par Martin S

•26 avr. 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

•19 févr. 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

•21 févr. 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

•16 nov. 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.

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