Great course

really good

Good review

Good course

Too simple

Too simple

too simple

excellent

Not bad

Great

good

Good

NA

.

V

g

I liked Professor Waterman; he is clear, gives examples, and doesn't just drone over the slides like my statistics professor did in college. However, the course itself felt a little too simplified. For example, when I arrived at the topic of multiple regression, concepts like collinearity and omitted variable bias, which are crucial to understand the fitness of your model, were not mentioned. This was a bit concerning because most business operations, I would assume, have multiple variables in play and would seem more practical to have a more in-depth focus on models reflecting that characteristic.

The materials in this course were great, but some of the math was not properly explained enough for the individuals to be able to see how the formulas were derived - especially some of the basic calculus and the regression materials. I believe it would have only added 5-10 more minutes in one or two modules to do so since there were so few examples given (This could be covered in subsequent courses within the specialization - I am not sure yet as I will be taking course #2 in the specialization starting next week). Otherwise, this course was a great overview of the types of models used.

Content

This is essentially a statistics course couched in business terms, with a smattering of finance. The term quantitative modelling' is just how 'stats' has been 'rebranded' in the modern era. That is not a criticism from my point of view, but worth mentioning.

Difficulty level

Ultra-challenging for non-mathematician 'analysts'. The material is also structured sub-optimally. More cohesion would aid understanding. But the course is often rivetting and informative in ways that other groundings in stats fail to be, in my experience.

Conclusion

Difficult, but well worth the effort.

The concepts were concise and comprehensive. As someone with a Math degree I personally felt all the quizzes were easy. The course would probably be a good review for those who would like to be re-introduced to the topics again and encourage further reading. However, I felt that if I was someone that did not know these concepts prior to this course, I would probably be totally lost. The explanations were not in-depth enough and I felt like they needed more calculations and examples.

The content as dry as it is was well presented. No problems there just be sure to have a good night sleep lest you find nodding in the middle of a module.

The reason for the three starts is a knock on Coursera for not letting me submit my last quiz on the last day of my paid subscription. I finished the content at 10:00 CST but I was not allowed to submit my last quiz. I had to pay for the next course in the certificate to get the completion certificate.

The course was a good exposure to the theoretical concepts of Fundamentals of the Quanititative modelling. However, I would have found it more useful if the course had more practical applications that the I could work on myself. to help me understand the applications of the theoretical concepts better. Also, would have preferred the course to take through at least the basic of modelling these important models using some trial data set.

Much of this course requires some previous knowledge of calculus and economic thinking. I found that much of this course was a mixture between my business calculus course and intermediate micro economics course that I have taken at college. I think it is unreasonable to call this a beginner level course given that I recognize a lot of the information from intermediate college level coursework.

If you expect to learn about "financial modeling", it is highly different from your expectation.

It is not related to modeling things, which is needed for IBD.

But, if you are very interested in quantitative things, and if you want to work on the buy side for portfolio management things, it may help you(about 5%).

The level of all lectures is similar to the CFA Lv.1 's quant part.

A good introductory course but it would have been nice to see a bit more of the math behind the models. I don't think the assessments were worth upgrading to the paid version of the course though. They were basically memorization and regurgitation directly from the lecture videos with very little, if any, thinking required. A bit disappointing from an institution like Wharton.