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
By Fabricio M•
The ability of Professor RIchard Waterman to take a very mathematical/statistical concept and beautifully explain it within business context applications is what I liked the most. Really beneficial to learn a concept from someone who you can outright tell has already mastered the concept, and now has the ability to teach it. I have taken various courses of quantitative methods, and this is by far the best fundamentals lesson I have ever attended.
By Androniki P•
While a student, I couldn't understand any of these, the probabilistic, deterministic models, their types, differences and applications. I would usually memorize when to use them just to pass the course. Now, this time I feel I really comprehend them. And it happened smooth and quite easily because the instructor was amazing. The material was well presented and gradually getting more advanced. U would highly recommend the course! Thank you.
By Carlos O I L•
I just finished the 3/4 week for this course and so far it's been an excellent class, however I don't understand why you need to upgrade to get your quiz graded. I understand that you should pay to get a certificate, I find it totally acceptable, but I don't agree with being charged just to know how well you did.
I plan on taking the full specialization (minus the Capston Project) and I'm hoping the next courses are as good as this one!
By Andrew A•
Very nice, low level introduction to the topic. The more mathematically sophisticated student will likely find the lectures very slow, but that isn't a bad thing. Only negative comment: I feel like it is a little irresponsible to teach a quantitative modeling course and talk about how useful the normal distribution is without discussing tails. (There have been some very significant historical impacts of not worrying about tails!)
Thank you to Prof. Waterman and Coursera for a very insightful and inspiring course on the Fundamentals of Quantitative Modeling. The course instructions were delivered in a very clear manner, which helped absorb the complicated material more easily. The course allowed me to learn new and polish existing knowledge on the topic of Modeling. The course also opened the door for a further study of the Modeling and related topics.
By Austin G•
This course helped me really to understand the concepts behind mathematical formulas commonly used in business analytics. I much more clearly understand the relation between variables within a function, as well as their meaning in reality. Overall, I can tell this course is great as the introduction for the Business and Financial Modeling Specialization. Very pleased with the quality and intelligence of the instructor.
By jayant s•
Builds solid foundation and covers the basics of quantitative models. Nice introduction to regression. Really looking forward to next course, which would teach spreadsheet implementation.
I think this course will help professionals and students from a variety of fields, i.e. marketing, sales, banking and finance, Information Technology, etc. Keep up the good work, Coursera and Wharton Online.
By santhosh k•
Course Content is designed in such a way that it is very easy to undertsand the concepts. Although being an engineer I already have insight about these topics, this course has given a structured way of undertsanding and interpreting things which is really a great value addition in decision making. A must course for all those who want to pursue MBA or those interested in Decision Making.
By peter a•
Excellent, clear presentation. One would be well advised to know pre-calc beforehand. This would be a more complete course if multiple math exercises were offered as well as more detail about the math formulas. But the concepts are well presented, and one can still pass the tests without being a total 'math-head'. The transcripts of the lectures could really use editing.....really!
By Shreshth V•
It was an amazing course. I could understand how to make sense of the data available using regression modeling and other mathematical modeling concepts. This course has taught how I can use data available to predict certain outcomes based on confidence intervals, to forecast the future possibilities and to optimize the data to pursue required objective. It is a really helpful course.
By Agasthya R•
A great and widespread introduction to the fundamentals of quantitative modeling. Prof. Richard Waterman explained all the concepts exceptionally well with different scenarios & the accompanying tests helped me gain a practical sense of understanding of quantitative modelling. I would definitely recommend the course to anyone looking to learn the fundamentals of financial modelling.
By Mar G A•
It's a very basic course on quantitative modeling. This is perfect for those who forgot their statistics class or their Quanti subject in MBA. Hehe. Like me. It's a refresher.
What I liked about this course and the professor is he uses business language and applications so that your model can be easily understood, or how would you present your model to your audience or your boss.
By Gopi K H•
This is an amazing course modelled to know the nuances of quantitative modelling. I would request the course moderators to include excel sheets with the given models done. Especially it would be helpful for me if you were given how to make practical use of logistic regression in cases like buy or not buy a share, take or not take a subscription sort of examples. Thank you.
By Ricardo S•
Very clear exposure of topics. Professor is a master of the topic and delivers it with joy and enthusiasm. The subject is sometimes dense and potentially boring at this phase (before real application and manipulation of models), but the course material keeps the key concepts front and center, which I think is a great way to build solid foundation for the student. Thanks.
By Brett C•
Very informative. Overall, I feel like I have a very solid understanding of how models work and a good overview of how to use them. My only recommendation would be to implement some sort of real-life examples. I.e have us work through our own regression analysis of a company's financials or something like that. Regardless, this was very informative and highly recommend.
By Priti A•
A wonderful and well-structured course for any beginner in the field of quantitative modelling. Professor Richard Waterman introduces even the complex topics so smoothly and effortlessly that a student can understand it in a single sitting. Grateful to the coursera and the University of Pennsylvania for putting together such a brilliant course up. Deeply thankful.
By Sam P•
Very informative however was also very information-dense (which is not necessarily a bad thing). I had to watch things multiple times to get a good grasp on concepts because things were run through too quickly. That being said, information was explained clearly and the course helped me develop a more detailed understanding of models and their functionality. 5/5!
By Nikhil T•
This course sets the foundation for the quantitative modelling. All the techniques introduced in the course were well planned with a lot of examples to learn from. I also like the use of numerical questions in the quiz. The course really helped me understand the basic of what modelling is all about. I thank coursera and Wharton online for offering such a course.
By Soumya S•
Mr Richard Waterman is an amazing professor. The way he explained the topics and kept coming back to previous examples by introducing slight changes in it to raise its difficulty level a notch higher is worth mentioning. Furthermore, this course added to my knowledge of basic models and encouraged me to continue other courses in the specialisation.
By zunaira z•
It's a wonderful course. I learned a lot and really enjoyed online learning experience of Wharton. Professor Richard's teaching methodology is easy to follow, highly engaging and very effective. The lectures explore depths of all topics and are at the the right pace and difficulty level. Moreover, quizzes test knowledge of all lecture concepts.
By Yannick N K N•
I was very surprised and pleased by the quality of the content since I was not expecting such a high quality of lectures. Very well explained with good examples. And if all courses of the specialization in Business and financial modeling are that high, I really think that I will feel totally confident to apply this knowledge at work if needed.
By Grégoire N•
Very good introduction to Business in general (stats, profit, elasticity...). Many topics are approached and it was very interesting to refresh my memory on important modeling concepts that I encountered during my bachelor.
Very well explained, without being too detailed, the focus is on the main characteristics of business modeling concepts.
By Marika B•
Very Informative and organised course for those who are beginners in Model building. I have been introduced not only techniques but the idea of interpretation data analysis and usage of models to represent underlined story in a most realistic and reliable form. Thanks to Coursera and Wharton Online for great opportunity and funding!
By Rajat A•
The instructor was a bit robotic and boring in his delivery and it was a bit too technical. I would have appreciated if the instructor would have explained the concepts more clearly and given a couple more practical examples. Overall, it's a very good course, worth the money and time and I will highly recommend people to take it.
By Janice N C W•
A very good introductory course to Fundamentals of Quantitative Modelling. Professor Richard Waterman's explanations are clear and concise. Definitive examples makes it so much easier for students without mathematical backgrounds to grasp the concept and encourages us to think of applying these theories to real life problems.