Very interesting content well delivered, the programming assignments could benefit from a little more guidance IMHO.

Great overview. Please provide more code examples as homework require a lot more than what the class covers!

Homework is not always consistent with what's covered in class. The recommended readings are very helpful.

One of assignments was hard. Explanation by lecturer was very easy to understand and appropriate long.

It would be great the background theory of related concept are explained in optional videos.

It's a good course. There are some missing explanations in the programming exercises.

Later assignmnets were difficult but lecture material is interesting and well taught.

Very good review and selected topics, although I would deep more on tensorflow use

The course content is okay, but the programming assignments are not well designed.

Great course, but the coding projects are sometime hard to understand

Could use more detailed explanations of what are Tobit Regression

Learned ML concepts and algorithms to be used in financial work.

Would be cool if was update to use latest version of tensorflow

was good but expect alitle explanation on the finance stuff

Exercises need better explanations and code

The projects are not so understood.

The grading system isn't good.

Assignments were whack...

Great Course!

Prof. Halperin certainly does have a great deal of practical experience on this subject, having worked in the financial sector for several decades. As such, the lecture videos are succinct and informative. (I will issue the caveat that in order to make the most of this course, one should be already be comfortable with linear algebra, statistics, some calculus and the python libraries mentioned in the prerequisites.) The readings are mostly relevant, at times tangential and in some cases completely off-topic (albeit still somewhat interesting). What perhaps makes this course frustrating, as some have already noted, is that some of the code is outdated. The course, having been taught several years ago, uses version 1 of Tensorflow, and so backtesting assignment code on your own Jupyter notebook can be tricky if you have the latest version installed. It's for this reason that I give this course only 3/5. I got a lot out of it, but it would have helped if it used the latest version of Tensorflow.

The assignments and project are very briefly explained. It took me a lot of unnecessary time to figure out what I was supposed to do. Also the discussion forum is inactive and I have a feeling many leave after seeing not anyone respond to their questions. I think there should be one or two dedicated support answering questions at least within 3 days.

The level of the course in general is pretty high, definitely not beginners level, which is fine I guess, but I do find the lectures are at times going very quick and at times overcomplicate. I would prefer an example to start simple and from there to build for a more complex situation. (For example start the bank failure with say 3 main features and show how you can decide to add another one by showing its impact through deviance and multicollinearity and show how you can then decide to add this new feature or not.)

Actually I was finding that course amazing at first, but I gradually became very upset. The notebooks are way too high level and not self-explanatory. The teacher seems amazing by his knowledge, but one are left with the notebooks without knowing what to do, and the lectures only partially help to solve the problems. A lot of search online needs to be done and I don't think that is the spirit of Coursera courses. I was planning to pay for the whole specialization but unfortunately I will have to give up on this course that was very motivating at first...

This course is a compilation of snippets from different courses. There is a large gap between lectures and readings and the labs. There are several bugs in the labs. It took far more time than advertised to fill in the gaps and complete the course. The content is excellent. But some work to better organize materials, more closely align the labs and eliminate some of the coding mistakes in the labs would help make this a 5 star course.

The lectures, as well as the quizzes, are great and coherent. However, the practical assignments, which are supposed to be the moment of cross-checking your level of comprehension of the learned topics are rather frustrating. I believe it would be of great help to future course takers to clearly state your expectations (e.g. through more detailed exercise descriptions) and introducing vital concepts before requiring their use.

Spent more time than expected. And when I tried to access the last assignment, it showed "404 : Not Found You are requesting a page that does not exist!"I understand the professor and other TA put a lot of effort on these courses, but I would say the assignments are not well organized, and more instructions are needed. Really hope the instructors could update/improve the courses/assignments. Thanks.