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.
автор: Sandeep C•
easy to learn
автор: Yuxinyi L•
Good fundamental lessons!
автор: Sanjoy S•
Course is very boring. No instruction regarding how to use the spreed-sheet or R to calculate those linear regression results. The results are just there. In some other fundamental that I took on coursera, those instructor gave some basic idea about how to use the tools/software. I was hoping for some very basic instruction about how to use R or excel at the very minimum.
автор: Farouk G•
Fairly straightforward and provided good content, but intros and summaries were often unnecessary and it seemed that a low percentage of the content was new material being learned. Still enjoyed it and learned useful terminology
автор: Dayn R•
Felt like it could have been a little more plain....less theory, more application.
автор: Robert P E•
Needs more interaction from the teacher. Use animations to make the math more understandable or dynamic. Consider adding practice problems as a check to see if students are understanding the concepts.
Content is good. But the overall course could have been designed better with some hands on exercises.
автор: Svitlana N•
Not a practical course. A lot of theory but very little practice. Quantitative modelling requires the application of data and usage of data sets. This course has none of that. Not for beginners when it comes to solving quizzes.
автор: Sachi F•
This course was wonderfully thought out and very well organized. The professor did an amazing job introducing modeling concepts and then breaking them down in very clear, concise points so you also can understand the underlying purpose of those concepts. The examples are all very well laid out to help you further understand this course. The quizzes were simple, but they did help reinforce the information taught in each module. Some questions weren't technically covered in the module, but you could easily extrapolate from the information given to come to the correct conclusion. I would definitely recommend this course to anyone who had an interest in forming a foundational understanding of basic financial models.
автор: Pranava P P•
I'm an economics grad who passed out a few years ago and was looking to learn quant modelling. I learnt these concepts in school but the way it was taught in this course was precise and better because of the examples. The course does make more sense if you have learnt calculus in school but now you have softwares to do that. Each module has an introduction which articulates very clearly what you can expect to learn and the summary beautifully wraps up what you learnt to give you a quick overview just before the quiz. I thoroughly enjoyed this course more than I did in school. Would recommend to econ students who want to get a refresher course in econometrics!
автор: sayandeep k•
An excellent course: it provides learners with the concepts and skills necessary for Modelling a Quantitative model for a Business. The lectures are clear and well organized. There are Quizzes for Learners that helped them to check the main concepts. The course is very objective and direct. I'm sure it will be very useful in my life as a student and as a professional. Thank You, Coursera & the faculty Richard Waterman, Professor of Statistics of the University of Pennsylvania who for providing online courses & guidance for international students. I have really enjoyed the learnings inside the course of Academic Information Seeking.
автор: Hristo D•
The course was very useful in introducing me to the basic concepts of modelling. I am now familiar with the necessary vocabulary to participate in conversations about modelling. It also refreshed my intuition on the basic mathematical functions. Most interesting part was the steps I have to follow when I want to construct a particular model in order to help me in answering questions about a business process.I also found out that this is a continuous process and usually I might not construct good one from the first time. I am looking forward to the next stages and so far I would definitely recommend it to my friends!
автор: Colin E•
I think this was a very good course. Level of instruction and pace were appropriate for someone with 2 hours/week to spend and who wanted to improve their knowledge of these topics. Its probably more useful for someone with some previous experience, limited time and some problems they want to solve, rather than a student. It had a good balance between a lot of breadth for time invested. If you approach this as a high-level overview that will help you efficiently focus your own search for knowledge it's extremely well done; I thought knowledge communicated for the amount of time spent was quite high.
автор: Rajat M R•
I would like to thank coursera and university of pennsilvaniya for providing me an opportunity to be a part of this course. Language used by prof. waterman was so comprehensible that even a layman could make a note of what is being taught. Knowing the fundamentals is the foremost task before advancing into anything, with the help this course I gained a brief idea of modelling in business and how these models are instruments in growth of a business .I would like to gain a more in depth knowledge of modelling and would love to enroll in all courses related to financial modelling
автор: Alessandro I•
The concepts are really well explained and the video lectures are engaging (not boring). The tone of the professor is appropriate and I really appreciated his way to explain economics modeling.
I already knew part of the topics and treat them in my university career, but it was helpful to give my memory a little boost and explore them in a different way that I'm used to.
The difficulty is less than average; I would say that is appropriate for an undergraduate course and proportional for the effort required (2-3 hours par week).
автор: Jamal S•
In a word. Excellent!
I have learnt a lot during this course.
Even though there are no direct interactions during the videos, Professor Richard Waterman still manages to keep it very engaging including excellent dry wit.
I found the course quite challenging seeing as I have very little background in Finance/Business modelling, although I have sufficient work experience to help me through.
The modules content was explained with clarity.
Thank You, Coursera, Thank You, Professor Richard Waterman!
автор: Lucy Y•
I have been in IT and business areas for so many years and I need a very concise and very pragmatic way of forming useful models. I only viewed week one materials. I have to admit that the professor, the materials and the course design have been extremely impressive. I would highly recommend, to anyone, IT or business managers, professionals in all areas to take this course. Because Modeling and Data Analytics will facilitate much better business decisions and make us better thinkers.
The course was well designed for its content and flow of revelation of contents. The course progressed in the manner it should be, from basic to intermediate level. Professor Richard Waterman was polite, calm, composed and thorough in his approach. The best part was, I was able to immediately go into discussion with one of my friends who is into modeling (some specific) from few years, and he told me that I was sounding theoretically well versed. Thanks & Regards Yashowardhan.
автор: Vikrant R W•
This course is very extensive on the use of quantitative models. The 4 quantitative models are explained with simple practical examples which enables the learner put his knowledge in practical situations. The skills learned in this course are very essential to a maker of Financial Model where one has to use historical data and build forecast.
My personal advise to fellow learners, please do attempt the calculations on your own to make your knowledge more precise. Happy Learning
автор: Peter M•
This was a detailed and thorough introduction to modelling fundamentals. Key takeaways that I will be able to directly incorporate into my role as a consultant:
-Discrete and Continuous regression
-Attributing different models as a solution to different business problems e.g. gap analysis, correlation, go/no go decision making
-Normal distribution values, and identifying mean/standard deviations
-Incorporating random variables; often requested by clients or external events
автор: Vishvendra S T•
This is an excellent course for all those who wants to learn Quantitative Modeling from very scratch. This course builds the foundation block by equipping students with basic terminologies & mathematical functions required to demystify the mathematical complexity associated with the topic. The course further explains various nuances of various models (Static/Dynamic, Deterministic/Probabilistic etc) elegantly & elaborately.
Thanks to the Coursera & Wharton Online Team!
автор: DIONYSIOS Z•
This introductory course is perfect. It gives you time to think (you don't have to spend too much time in order to understand the material/concepts) and it is self-sufficient. I would suggest to set the playback rate at 1.25 since the teacher talks really slow. In addition, I would like to see the teacher talking like a human being instead of reading his notes in a black background but this is not super important for me. All in all, I totally recommend it!
автор: 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.
автор: 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.