Jun 16, 2019
Very clear and articulate explanation of the concepts. He doesn't skip a step in the sequencing ideas, drawing comparisons and differences, and illustrating both visually and story-telling. Excellent.
Jul 31, 2019
Very nice course for beginner, the mathematic level is not high (around french baccalaureat) so available to everyone. I enjoyed a lot this course that show how simple math can be used in real life.
By Siva S B•
Mar 26, 2018
Could have been more advanced from the perspective of practical use-cases of data modeling.
By Suraj V•
Oct 16, 2016
I believe this was a very good course for beginners. However, from Wharton, I would have expected more realistic examples. I would have also liked some hands-on assignments. But, otherwise.. Great, great course from a beginners point-of-view! Thank you so much!
By Apurva D•
Aug 10, 2017
Good but too easy
By Jose G•
Aug 21, 2017
The content as dry as it is was well presented. No problems there just be sure to have a good night sleep lest you find nodding in the middle of a module.
The reason for the three starts is a knock on Coursera for not letting me submit my last quiz on the last day of my paid subscription. I finished the content at 10:00 CST but I was not allowed to submit my last quiz. I had to pay for the next course in the certificate to get the completion certificate.
By Jordan R•
Mar 09, 2016
A good introductory course but it would have been nice to see a bit more of the math behind the models. I don't think the assessments were worth upgrading to the paid version of the course though. They were basically memorization and regurgitation directly from the lecture videos with very little, if any, thinking required. A bit disappointing from an institution like Wharton.
By Craig K•
May 06, 2017
More reading about theory than actual doing.
By Guilherme R d O N•
Oct 17, 2018
It could've gone deeper into the topic. Although it's called Fundamentals of quantitative modeling it don't got to be to basic.
By jyoti v•
Oct 23, 2018
The course is a bit too introductory for me. I'm looking for more challenging material.
By Saman K•
Mar 03, 2016
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.
By Abhishek T G•
Jan 30, 2017
Personally, did not like the pace of the course. The course can be a bit more interesting with real-life case studies.
By Davide B•
May 10, 2016
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.
By Michael S•
Mar 24, 2016
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.
By Rubén M F•
Feb 27, 2016
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.
By Andrey V•
Dec 31, 2016
Just the basics. No concrete explanations of models. You have to study them on your own.
By Panagiotis F•
Oct 25, 2016
A first year undergraduate student can pass this
Mar 19, 2017
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.
By Savannah B•
Jul 01, 2018
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.
By Leah M•
Mar 31, 2018
Explanations not clear. Difficult to follow equations in slides (variables and equations are not repeated from slide to slide).
By nikhil c•
Mar 11, 2017
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
By Deleted A•
Apr 27, 2016
Very basic and the lectures are short in duration. Not what I expected from this course.
By pierre r•
Feb 27, 2019
bof, pas assez concret pour mon travail
By Alex B•
Mar 06, 2016
The course is poor. Exams are too easy, video lessons are boring and not engaging. Content is poor too. Did not like the course.
By Rob B•
May 12, 2016
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.
By Daniel M•
Jun 29, 2017
it was trivial
By Matheus V•
Jul 11, 2017
I thought that course was more specific. I will expect more applications examples.