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

the course is mere naming of concepts used in modeling with no actual way of learning how to practise the things taught in the course :(

I really enjoyed this course. Although I have had exposure to these topics in the past I really enjoyed the teaching style, the clarity with which the topics were presented, and the practical applications. Additionally I found the Coursera platform useful as I could pause, 'rewind', and review concepts as needed.

Very good background to quantitative modelling. It gets a bit heavy on the mathematical formulas in places, but if you follow through, it helps cement understanding. Good speed/pace of material.

Richard Waterman is good at explaining. The level is basic but he advances some useful interpretations of common expressions. For someone like myself with experience in modeling in a different field (biological processes) the examples from the business world are very much appreciated. Learning modeling and statistics is not hard. The hard part is becoming wise at using them. Modeling won't spare you from being creative.

The professor is very humble and excellent in teaching. Every aspect is covered in the course.

Only one thing is missing if you could provide us the practice in R and excel sheet. Should contain practical and resources associated with the course.

Course is having ultimate content regarding the understanding of Quantitative modeling and its applications. Having great explanation with examples of linear, power, exponential and log functions.

This is a very well structured course focused right at building a solid base for modelling. Many new ideas were discussed and some good examples were used along the way and in the end of module questions as well to test the understanding. I would highly recommend this course to beginners.

Great course to refresh basics of modeling and econometrics. Very well structured for both beginners and those who want to refresh their knowledge. Do not expect to be fully capable to create models after only this part of the specialization.

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.

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.

This is a good course for all of them who wish to work in this field and are unable to do so because of lack of core knowledge. The course helps to build this fundamental conceptual knowledge.

this course was a very basic and very useful course to start with any quant related career .

It’s a fantastic experience i have ever earned.

excellent course

AMAGING COURSE

This course has the right approach to the beginner. I thoroughly enjoyed the course. I learned the basics of how can we relate a quantitative models in real world business.

Great review of statistics for business. These courses from Wharton Online are allowing me to learn and review knowledge that will be used in my graduate business school classes. I started taking these Wharton Online courses during my non-business undergrad. I'm sure what I've learned from them will help me to be successful in the Duke Fuqua MMS that I've recently been accepted to. I believe that business school admissions committees do appreciate it when you take courses like these. I'll be sure to revisit this and other Wharton courses as review when I am applying for an MBA in the future!

The course curriculum covers all the major topics that I needed. With a little bit of extra effort and googling the concepts of probability that I didn't know, I was able to grasp the course. The quiz helped a lot to assess my progress. The only downside of the course is that there aren't many questions on the discussion forum.

I've really think this course has helped me laying the foundations to approach building models that emulates reality. The content is well explained and the professor makes it simple yet important.

Very informative, insightful, and useful for those interested in developing a foundation in quantitative modeling.

The materials are explained clearly, although they might be considered a little too easy.

The teacher has clear logic in class and can explain quantitative modeling systematically

Very easy to follow, and a very suitable introductory class.

Fantastic course. Easy to pick and a great teacher.

It's very easy to understand.