學生對 宾夕法尼亚大学 提供的 Fundamentals of Quantitative Modeling 的評價和反饋

very basic

Good.

The student needed to have a good foundation of statistics and high levels of math to be able to follow the class. I have not taken statistics or trigonometry in many years so I struggled. I would have benefited greatly if there were more examples of how to calculate the models, including the calculations part of it. The professor did not do that and that got me wondering (not knowing) how to calculate the formulas. I think if I had seen a few examples, it would have been enough to understand and keep up.

So, more step-by-step instructions on the mechanics of formulas, would be my biggest recommendation.

But the professor did a superb job explaining the concepts, and showcasing some industry applications of the models.

Thank you for asking.

Great explanations provided by Prof. Waterman, however for the price of this course (in my view quite expensive) the materials available are quite poor (e.g. the formulas shown in the pdf slides are a mess, not a mathematical summary, etc), and the level of the quizzes is very basic. I would have expected much more from a course coming from Whaton.

I liked the course because of its format and material. Basically it was comprehensive.

I did not like the presentation and lack of practical examples. I had to force myself to concentrate at times and search other sources for more detailed insight.

Its good for the starters but touches very few and very basic concepts. No offense, but the professor could have made it much more interaction by making the better slights he would just read values without even using markers

I love this subject, but the way it was taught here was extremely boring and hard to follow/focus. I took it this class at NYU for grad school (higher level), so I was just looking to refresh and almost died.

Really superficial overview, I suppose it's good for just familiarizing oneself with assigning the appropriate model, but to shallow for any real carry over to the real world.

It is very easy and somehow less impacting on real business problem. I hope this Microdegree will get into some kind of complexity otherwise will remain high school level.

If you have taken a statistics course in the past, this course is not super useful besides understanding which models are used for specific business problems.

Explanations not clear. Difficult to follow equations in slides (variables and equations are not repeated from slide to slide).

Personally, did not like the pace of the course. The course can be a bit more interesting with real-life case studies.

Just the basics. No concrete explanations of models. You have to study them on your own.

Very basic and the lectures are short in duration. Not what I expected from this course.

Too difficult for a beginner, lecture fails to reach to the main point directly

Professor didn't communicate the material in a way that was easy to understand

at some point it was a little bit complicated for me

A first year undergraduate student can pass this

Really theoretical and not detailed

I do not intend this to be mean, but I could not listen to Richard Waterman. I am British and I understand that Richard was born in the UK but spent a great many years in the US. If he had a BritiI really struggled to listen to him as his accent crosses the Atlantic several times a sentence. I found I couldn't listen to WHAT he was saying because I was so distracted by HOW he was saying it. I am sorry, there is probably nothing that he can do about it and the course looked very interesting but I simply could not bring myself to continue.

Beware of Coursera and the $49 charges. I found that I am being charged $49 per month for each class that I signed up for. The $49 charges continue FOREVER, long the classes have been completed. When the credit card expired, I was kicked out of the class that I was in the middle of without warning. I am unable to reach anyone at Coursera to attempt to resolve the problems.

This is pure statistics, not exactly financial modeling like the course it belongs to. Also, the lecturer speeds through concepts. You should already be familiar with statistics so that you don't have to rely on the speaker's explanations.

I thought that course was more specific. I will expect more applications examples.

It's too easy ... I can learn this on google.

boring, it doesn't like other quants course.