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.
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.
By Stefanie L S O•
Learn a lot!
By Samant J•
By Preetty G•
By Akash A•
By Diego B•
By Liu Y•
I like it
By Vishal M•
By Felix H•
By deepak m•
By Shrenik V Z•
By Fu S•
By Jack R•
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.
By Murugan M K•
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.
By DIONYSIOS Z•
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.
By Clem T•
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.
By Siddhartha M•
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!
By Tania G U D•
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.
By Nicolas O•
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.
By JUAN P R•
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
By Leonel G•
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.
By Tom d V•
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.
By Scott H•
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.
By Nil D R L•
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.
By Chyngyz S•
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.