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.
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.
par André I•
Oct 06, 2018
the quizzes are not really helpful/relevant.
par Viktor G•
Apr 26, 2016
Outdated presentation style: mostly "voice behind text and Excel window" long... long videos.
I'm not questioning the material itself, but I was heavily bored during the course.
par Deleted A•
Feb 12, 2017
par Zeming Y•
Jan 13, 2018
okie not that great
par Deleted A•
May 10, 2016
This course is much more informative than the previous two in my opinion. I liked the sample spreadsheets provided. I still however feel the price is a bit steep compared to other similar courses you can find online. The quizzes aren't that challenging and it may be nicer to expand the assignments to practice more.
par Joe V Z•
May 25, 2017
Slides were not useful.
par Anna D•
Feb 27, 2017
Mostly useful practical advice and examples on how to use Excel to model risks and realities. Week 3 was not very good as it was a quick overview of basic statistics which is incomprehensible if you have no previous knowledge and useless if you do.
par Valentin Z•
Oct 02, 2017
There are good and bad things to say about this part of the "specialization". The good ones (in general thanks to Sergey) are that sometimes during this course you learn something new and useful. But not much... One can hardly say that you will get some sort of "specialization" through these 5 courses. It's highly inconsistent. I'm sorry to say that but it's not the Harvard level of education (at least I hope that the Harvard level is much higher). This part is still far from the wonderful introduction by Professor Waterman. And the 3rd week of this part is a total fiasco: we all know how to read, and mechanical reading from the screen by the teacher doesn't give anything for knowledge. I also didn't understand the part about 'time constrains' as a pretext to describe only normal and uniform distributions (we can read anywhere about these two probability distributions... but where is the value-added product of the teachers?). I would say that selecting the same (very long) range in Excel with a mouse cursor seven times in one lesson is total waste of time that could be spent more effectively. At last, the final quizes are sort of childish: the questions are written in in a very bad style (apparently to complicate understanding) but the real answers are mostly simple arithmetic...
par Marek N•
Nov 04, 2016
Good practical examples of the concepts. In general, seems to me that the courses of the specializations do not fit together well. At times, basic things mentioned elsewhere are repeated, some others are not explained sufficiently.
par Mies Z•
May 17, 2018
The excels presented in Week 3 and 4 were lacking in substance, they didn't really help provide any useful information in real world scenarios. One of the questions in the quiz actually asked for the mode from one of the videos, first of all the mode? That's quite a basic question but on top that you literally have to go back through the videos to find the correct answer. It was quite silly. The first 2 weeks in the course were good, which is why I'm giving it 3 stars. I expect more from Wharton.
par Brendan C•
Jun 04, 2018
quiz should be unlocked. Some concepts could be explained better.
par Ao Z•
Nov 19, 2017
par Jordan L•
May 24, 2018
Very difficult to understand the professors, and I would have wished for more demonstration on excel, rather than explanation through slides.
par Daniel B•
Aug 07, 2019
This course had a mix of high and lows, professor Savins pieces felt more connected to real life examples to help illustrate the concepts whereas Professor Veeraraghavan felt more like a math class and very disconnected from real world examples.
par Evan H•
May 21, 2019
Some concepts were hard to follow.
par Brendan G•
Oct 17, 2019
I wish after each quiz it would show you how to get the right answer then generate a different question when retaking the quiz. You cannot learn without knowing what you did wrong.
par Natalia B•
Mar 16, 2019
Although great content, I found that the week three has been more theoretical with not enough detail. I still manage some key concepts, but I would have love to understand more how to use in practice the theory.
par Andrey T•
Jul 03, 2017
Could be more content, and quizzes are really stupid - it's just plugging in numbers!!!
par Bertrand R M•
Aug 15, 2017
very poor qual
par STEVE S•
Apr 11, 2018
I do not recommend this course or the specialization. I will cite below sentences from the course and you can be the judge yourself.
*** start of cited sentences ***
if we plug in the expected values … we get fifty thousand times ninety, plus nine hundred thousand times ten, plus one hundred thousand times six, plus one hundred fifty thousand times two …….
*** end of cited sentences ***
The professor was actually reading this calculation:
500,000*90 + 900,000*10 + 100,000*6 + 150,000*2
I sat through 3 courses to realize that I should have dropped it in course 1 week 1.
par Davide B•
Aug 07, 2016
Basically i resume of economics concepts that can be taken for granted as a prerequisite of the course
par Xin C•
Feb 22, 2017
Not very helpful for stat major students
par Charles C W•
Mar 24, 2019
Too basic for the subject matter. Didn't learn anything I didn't already know.
par Pramit S•
Jun 01, 2016
The distributions were not well explained, it could have been handled in a much better way!
par Siddhi S•
Apr 18, 2018
The expllanation for Week 3 is very poor. The professor fails to go into details and leaves much to assumption. A better understanding of reading the statistical tables and more detailed explanation of the pdf and CDF functions are required.