I really like the professor, and the content was clearly explained and relevant. However, there are some serious technical problems with the course.

Let me preface this by saying I am very comfortable programming in R; I have been using it for econometric analysis for 5 years. Given this, I think it is unreasonable to demand that students to use a dated R version in the course. I did not "downgrade" my R to take this, and therefore experienced some problems.

These problems stem from the fact that the random number generator (RNG) default program changed in R version 3.6.0. Therefore, when using the set.seed() command to ensure our random samples matched those of the professor, I got slightly different results. This shouldn't have been a problem, but the professor arbitrarily decided that the answers to the quizzes and exercises should include six decimal places. If he asked for three or four decimals, this would not have been a problem and any version of R would be sufficient.

There is a solution to this; use the command RNGkind(sample.kind = "Rounding") before the set.seed() command. This sets the RNG default to that of R version 3.5. This explanation should be added to the course.

The other major technical issue is even more frustrating. The Russell 3000 and Russell 2000 data used in quiz 3 and 4 in EVERY week/module was removed for the FRED databases. See this article: https://news.research.stlouisfed.org/2019/09/russell-data-to-be-removed-from-fred/ .

This data was removed on October 4, 2019. When taking this course almost three months later, I found that this issue has not been addressed yet. Because of this, 8 of the 16 quizzes in this course cannot be completed.

This course has so much potential, but it is lost in the lack of maintenance.

Where do I start? I only took this course because it was a part of the Entrepreneurial Finance specialization offered by Duke. If not, I would have left it half way, because it was that bad.

First of all, the course seems out of place. The other courses linked back to entrepreneurship and innovation, this did not. And while the other courses were beginner to intermediate level, this required a high level understanding of both R and statistics, which I was not ready for. It would have made sense if if linked back to investing in startups or even just valuation.

The instruction was sub-par. Yes, I understand that this is a high level course, but it is still the responsibility of instructor to explain the theory behind the concepts in an understandable way. This did not happen, as the instructor skimmed his way through the heavy course materials.

Lastly, the content is riddled with errors, especially the mandatory quizzes. This is irresponsible, since the students' grades depend on these quizzes. Several people have highlighted the problems in the discussion forums, but these were ignored by the teaching team.

In conclusion, this course did not meet my expectations. The quality was dismal and it was a lazy decision to add this course to the Entrepreneurial Finance specialization. Please fix these errors before you start charging students money to take this sub-par course.

Very useful course that sharpened my understanding of Risk Management. More detailed notes would be more helpful in the future, otherwise this course is amazing.

Interesting subject and clearly explained, but I do not see how is this connected to "Entrepreneurial Finance: Strategy and Innovation"

Didn't like the course much. Interesting, but stumbled into problems using R-Studio and had to find the correct answer for the course despite having the correct script in R-Studio. Many students have that problem, yet the faculty isn't fixing the course or assisting in any way.

Completely a bad course. They don´t update the dataset used for the evaluations. Complete waste of time and money!

Exercises and code no longer functional.

The only problem is that some of the QUIZ are with problem in R and when you utilize the solution for that the answer don't fit, maybe after some time show as the resolution of the problems or check this errors, ex. QUIZ 1 week 4.

But, the couse are excelent and easy to get knowledge.

I learnt a lot of concepts and how to implement those concept in R. Highly recommended if you are into technical risk management for financial portfolio.

The basic of financial risk management are provided with very clear theoretical background and exercises to learn it practically!

Very nice explanation, with a vocabulary for dummies in the topic Risk Management. Very useful

This course has been very well planned and structured. I enjoyed taking it. Thank you.

I think the course is quite interesting and there are good resources to practice R coding. Even though, I think the course would be more productive if all coding material is updated so it can be used in the latest versions of RStudio. I also think some more interaction would be achieved by professor and students.

As some without a background in finance and risk assessment, this course was a nice introduction to risk

assessment. I do have one negative comment, it would be nice with some suggestions/links for supplementary information on the financial theory.

Not mathematically detailed, neither in R. Requires more intuitive/ practical examples

Good for an overview.

Too complicate for me. I am lacking in some basics for using.

A really fantastic course! Perfect for somebody with an introductory understanding of the R-programming language and of financial analytics. The course goes into some really complicated concepts, and by the end you will be analyzing Volatility Clustering with the GARCH model. But the professor walks you through at a steady pace so that it really does start to make sense. Luckily the exercises and quizzes stay reasonable and do a good job of reinforcing the material - they do not stretch you beyond what was covered. You are not expected to be an expert by the end.

Me gusto este curso, ya que da nociones de como abordar los retornos, calcular el VaR, ES, simulaciones para determinar que distribución tiene el comportamientos de los indices. Además, que la función t-student reescalada es adecuada para muchas funciones de cola pesada, el modelo GARCH para determinar las volatilidades, agrupamiento de volatilidad, correlación serial y todo esto aplicado con el lenguaje de programación R.

This course content is good. Prof has taught it really excellent. It requires bit more explanation on R codes and some statistical concepts. VaR has to be dealt in more detailed way. There are several volatility clustering techniques. Prof should have given a slight introduction to various GARCH models. On the whole, the course is worth taking and has good value for money in my opinion. Thanks to prof and coursera

It's been an amazing journey in the field of financial risk management. It provided me with additional knowledge to improve my technical skills in the field of financial risk management. The course is really well done and the professor makes complex aspects simple by providing really useful tips for your work.