I have a PhD in econometrics - took this course to see if it would be useful to some of my team - gleans over complex issues way to fast but given the length that is understandable - my issues with this course are (a) the Jupiter notebooks are complete already so don't make students think and (b) there should be a great deal of included warnings with references for students to dig deeper outside of the class

Part of the code doesn't work. To fix it it is needed to go to Python documentation and do research

A lot of statistics concept are not quite well explained. The course should include more detailed explanations or at lease some links where the this information can be studied

The results of the trading system implemented in the curse are not the one that you will obtain

i have to give two stars because I can't be able to do the lab session, I'm always told you have run out of time so I didn't do any lab session, finishing the course without any lab session is very worried which I have ended up knowing nothing despite completion, please make it flexible for me to do the lab session to know more

Too many mistakes in the use of English throughout the course made it hard for me to follow the course properly without getting annoyed. The instructor's English was terrible as well, just too many mistakes, which made it impossible to follow without subtitles. The content was good though which is why it deserves two points.

I was hoping for a little more from this course. While it effectively combines statistics, finance and python, it does not go into great detail in any of the three. There are spelling mistakes and the audio quality is not great. For me the most useful part was learning the python functions and syntax.

Don't waste your time. The statistics part isn't explained well enough. Python code, which this course provides, is slow and uses outdated concepts. The idea of predicting stock prices using linear models is just a gem! If you are new to python, the course can show you how not to write code.

Course is good but (a) some Python bits are not up-to-date and (b) final week exam questions should be updated and brought in sync with either lectures or the lectures need to be updated. If Google has a different answer than the course, well, that's not a great place to be in.

Course uses <pd.DataFrame.from_csv >. This has been discarded by Python. Since I am begineer to Python and on assumtion that such discarded notations will again be used going further in course, I have no choice but leave the course in first week itself.

The content is really good but the audio is horrible, I tried so hard to stay and listen but is not possible, you should record it again. As a tip for other users, don't use headphones, it´s easier that way, more bearable. Greetings.

i am happy with subject and course syllabus but if the data that the lecturer worked on them, was available the course would be much more useful,

without the data, it was just some code that we were watching.

thank you coursera :)

- Instructor's English is hard to understand

- Materials are not high quality. There are many typos, links in exams do not work, "none of the above" appears as first option, some Pyhton methods are not up-to-date

felt very hard to follow, didn't get most of the lectures, and much of the interactive activities I could don't really follow through. Generally, this is a course that I could get on youtube for better and free.

The idea is nice, however, from the 2nd module the teacher's lessons became unclear and quite messy, it's not easy and intuitive to understand at first. Moreover, the reference links in tests do not work.

I would change the title. It has little practical content on trade, and explains more statistical methods.I would call it "how to use and graph statistics in python, with some trade samples".

Does not explain technical terms well. I had to search online to understand much of this content. Some of the quiz questions related lab to are not explained in course / lab

The course tried to cover a lot but wasn't really helpful for those who didn't have basic knowledge of either Python or Statistics

Poor Explanation of topics, was in a very hurry to complete than in explaining the concepts in depth. Did not reach expectations.

More coding please. I was looking for more linear modeling examples and implementation. The rest was relatively easy.

Not enough detail. Lectures have good material but a lot of information is presented too quickly. Labs are good

Lectures are not very informative. Things are said directly and not explained well. Sadly I paid $50 for this.

weak, not really good course, just showing some basics of data analisys and concepts.

you won`t get the certificate if you completed they pushing us to purchase

non precise questions and th4e english is not easy to understand

The teacher need to learn better pronunciation and slower pacing

video lecturing lacks clarity and big picture context