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.
for the beginer like me i have experience in banking of 8 years still for me this fundamentals are new specially quantitative modelling.Kindly provide banking related examples in here too.\n\nthanks
автор: Anadi M•
The basics of Modeling are very well explained, with sufficient examples which helps to really understand what is being taught (sometimes the theory can be overwhelming, and it is much easier to understand with the help of examples)
автор: Nojeem Y•
The Professor explained a very technical subject with everyday language and always emphasized the interpretation of any calculated numbers in real life cases. I found that very impressive, and I think that made learning really fun.
автор: SHREYASH S B D•
AMAZING COURSE TO START WITH QUANTITATIVE MODELING. I LIKED THE PRACTICAL EXAMPLES THAT WERE USED TO SHOW THE APPLICABILITY OF THESE MODELS IN REAL BUSINESS SCENARIOS. THE PROFESSOR ALSO EXPLAINED EVERY ASPECT VERY WELL.
автор: Han L N•
Awesome course! Not only it teaches me the knowledge I desired to learn, but it also supported me in my final year thesis especially on the multiple regression model. Love his explanation, clear and easy to understand. Thank you!
автор: Rohith S•
Professor Waterman was extremely eloquent and clear. Previously, my understanding of regression was rather elementary and nebulous, but after this course, I am ready to start tackling probabilistic modelling questions head-on!
автор: Srinivasan K•
Great delivery by professor and the referenced examples are quite easy to understand and interpret internally to reinforce the concepts in mind. Really enjoyed the learning experience . Thank you WHARTON ONLINE and COURSERA.
автор: Nemani S K•
The course covered the fundamentals pretty well. But a little more analytical question sets and more mathematical problems would have been much more helpful.
eg: an assignment or project based on montecarlo simulations etc.
автор: MODI V K•
After finishing this course to be honest I just felt why can't we replace our boring lectures in the colleges with the interesting and challenging courses in coursera :) . Thanks alot for this :) I will keep learning now
автор: Akmal A K•
This course provides an introduction to Fundamentals of Quantitative Modeling. It's also been a pleasure to master the course materials through lectures of professor Waterman, who made them easier to grasp. Thanks a lot!
автор: Brian T R•
I have not been in school or class for many, many years but the instruction here was great. Still very difficult to recall many terms from 20 or 30 years ago and others I had to still learn, but well worth the effort.
автор: William M•
Great course that introduces all the various topics in modeling and gets you to started thinking about how to process information, in addition to giving you the tools and skills needed to succeed. Well worth the price.
автор: Falowo O A•
The modules are easy to follow and the instructor does a good job by teaching in clear language with many illustrations to drive his points. Well done Prof, I would definitely recommend others to this online platform.
автор: Inna P•
Excellent intro into the world of business models. I previously studied modelling from data science perspective, but I really like business related examples in the course to link all the theory to real world problems.
автор: Shelby B•
This was an outstanding review of quantitative modeling concepts. Very well worth the time to step through the coursework. I feel it reinforces concepts I need to apply in the healthcare data analysis field. Thank
автор: Muhammad A R•
Professor Waterman did an Excellent job of explaining complex concepts in an easy to understand language. The use of examples, for almost all concepts, in the course was something I just enjoyed very much! Priceless!
автор: Atinuke S•
This course was very useful in applying my knowledge of quantitative methods from research to business situations. Professor Waterman did an excellent job of parsing the fundamentals without losing the finer details.
автор: Azaan T•
I absolutely admire the professor. Not only he motivates me to learn more about the subject matter, listening to him talk motivates me to improve my diction and my oratory skills. 10/10 would to learn from him again
автор: Victor J G V•
Excellent deal for any person in business, economic or even a manager who should know about analytics and decision-making support, with the academic rigor of one of the best Business School MBA program of the world.
автор: Davide L•
This course is well structured and is very good for people who wants to be introduced to Quantitative Modelling or people, like me, who wants to "refresh" Quantitative Modelling knowledge acquired several years ago.
автор: Ricardo O•
Quanto mais o tempo passa mais fico convicto que o tempo que tenho passado dedicando aos cursos ofertados aqui na plataforma me trarao inumeros beneficios ao longo do tempo. So tenho a agradecer pela oportunidade.
автор: Federico C•
Great explanations, intresting lecture slides and clear examples! The course provides a great overview of econometrics applied to business. I totally recommend this course for anyone who is intrested in modeling.
автор: Corneles J D•
This course makes it very easy to understand quantitative modelling because of the simple examples used here. Great course, would recommend this to Coursera users looking to understand the fundamentals of models.
автор: EVELINA V•
Very informative and interesting course. The lecturer presents information clearly, information is structured, a lot of practical examples. All examples and formulas are clearly explained. I enjoyed this course!
автор: chris t•
The pedagogy is very good. Clear explanations and illustrations. I highly recommend this course to those who need fundamentals of quantitative modeling. I'm looking forward to the rest of the specialization.
автор: Nelli M•
Make sure that you brush up on your maths before taking this course. If your maths skills are up to speed, this course will be quite simple to comprehend and you will have no problems following the lectures.