Kursteilnehmer-Bewertung und -Feedback für Fundamentals of Quantitative Modeling von University of Pennsylvania

I really enjoyed learning with examples. There were certain aspects of basic modelling which I was unaware of but the specific illustrations and characteristics of the basic modelling techniques really helped me enrich my knowledge.

One thing that stayed with me "All models are wrong but some are useful".

Loved the teaching!!

Very insightful course. Will recommend this for any student. One will need to read the recommended book earlier on in the course the appreciate and understand the course more, especially if your stats and probability is a bit rusty or absent.I enjoyed the examples in the course as well. Very practical and I can relate to them

The course manages to explain complex functions in very straight-forward terms. It is easy to follow and presents the information in such a way that it is rememberable. Personally, I would include more "real-life" examples within the Modules' Questionnaires, as there is very few of them and a lot of theoretical questions.

This really is the first course I have seen which truly deals with understanding the intuition behind the fundamentals of quantitative modelling, rather than just giving the math. For someone comfortable with the topics, you may find it's a slow pace. But for someone looking for the core understandings, I would recommend.

As the name of the course states, we went through the fundamentals of quantitative modeling. I come from an Economics background, so the course was not very challenging but the quality of the course is very high and I do see how other people with no background in business/finance/economics could immensely benefit from it.

A great course conducted by a great professor! I would recommend this course to anyone who has an interest in learning about Statistics and the fundamentals of how it's used in modelling. If you have a perpetual fear of math, don't worry, this course is made super simple by the professor and even a Math novice can ace it.

Introducing the students to statistical analysis, the course Fundamentals of Quantitative Modeling sets a benchmark for quality coursework. I praise the instructor, Richard Waterman, for focusing not only on the mathematical modeling practices but also on the interpretation of business jargon from the real world.

I would say that this course requires a good understanding of mathematics. This course deals with numerous concepts related to statistics. The teacher does an excellent job of explicating these concepts, yet students may need external resources (i.e., Wikipedia, Youtube, etc.) to aid in the understanding.

Gracias por permitirme tomar este curso, ha sido de gran ayuda para complementar mis conocimientos financieros y en especial conocer como se estructuran los modelos financieros desde identificar la data hasta optimizar el modelo/función. Me servirá para trabajar en optimizaciones de procesos de negocio.

It was challenging but the tutor's pace of speech was measured (and you can always rewind) and the examples were practical. I can't say I completely understand but I'm definitely starting to think more logically and have more of an understanding of what models to use for different scenarios. Thank you.

Overall, great course. Love the brief overview of some of the beginner concepts that allow for the development of the more complex. The one negative I found was that I struggled with a few of the math concepts since there was no practice space or example math questions before the quiz.

It is a very helpful class to introduce the basic quantitative theories and terminologies required. The difficulty of the class if perfect for the people who doesn't have any financial background but having some mathematical background will certainly help in understanding this course.

It will be great if there are more examples of applications and a feedback about the resolution of the problems and explanations once you have the certificate and you solve all the doubts and the failed ones. Thanks, it was excellent in general and pretty clear for foreign speakers!

Though elementary , the instructor explains the topics amazingly well.The amount of clarity i gained on taking this course cannot be understated and I would recommend it to everyone even if they know most (if not all) of the base concepts.Also this course works great as a refresher.

Very informational Course! As it slowly progresses from the easier and more basic concepts, the instructor has help us to build a strong foundation of the topic. Recommended for those who want to review statistics, maths and economics, and very look forward to the further courses!

This was a very good learning experience for me, I was able to visualise the need for modeling, linear regression, univariate and multi variate. My only feedback is if the course could more numerical problems or how to arrive at R2/RSME numerically. But otherwise, a great course!

Many thanks for an impressive course delivery! Great use of graphics, examples and spot--on explanations. Dr Waterman breaks down the concepts (which have a rather discouraging sound to them) into little bits which a rookie in maths and statistics like myself can chew and digest.

The course was really good. One thing that I would like to highlight is that professor does not interact much on the screen. Could have been a better course had the professor highlighted the graphs through some pointers on the screen as done in other courses provided by Wharton.

Seriously one of the best courses i have taken online. I had nearly forgotten the least squares method and i finally recalled it. The explanation is amazing, the applications are simple but in-depth conceptual. I wish our Statistics professor in our university taught like this.

As a total newbie to modeling, this course has tremendously helped in setting the base for further learning. The syllabus is basic and needs no background, except some very basic calculus to understand the mathematical functions.

I found the course very engaging and helpful.

I loved the course, beautifully explained and tests are awesome. I guess I learned a new skill. Thanks, Coursera and Wharton university for proving this awesome course. I also would like to thank my course master Richard Waterman for his insights and teaching on the subject

Very well taught course with relevant examples from industry/business. Clear guidelines on the practical usage of the theory being taught.

Hopefully the upcoming courses in the specialization delves deeper into the concepts taught and strengthens the information provided

Professor Waterman presented the material in a clear and concise manner. This course is a great refresher to basic quantitative methods, and does a great job introducing more complex methods as well. Following courses build directly upon this one, so I highly recommend!

The learned instructor Mr Richard Waterman is great in explaining sophisticated mathematical/statistical terms or concepts in simple, concise and easy-to-understand way. Great and useful for mature working professional who are out of touch with mathematics/statistics.

A wonderful way to learn the fundamentals of modelling, specifically if one is new to the subject. The best part is that the explanation is very crisp and its easy to understand even complex fundamentals. Go for it guys and you will not regret the investment of time.