Thank you!

very good

pros

(1) h

thanks

great

None

Good

bien

good

good

GOOD

Good

First parts were pretty good. Good explanation of pandas and how to work with python for statistical analysis. As the course went on, it deviated towards statistics. At times I didn't understand what the professor was saying as he didn't fully explain what he was doing. Sometimes he would go through topics to quickly without explaining them in depth, which meant I had to re-watch many videos several times to understand (or at least trying to). I would have also liked to have more of an explanation on the python aspect of how to do things as the course went on. As I said initially, it explained things very well at the beginning, then, it was a bit hard to follow,. Therefore a bit more explanation in the programming at the later stages of the course would have been much appreciated. Overall though it was a good course to get an initial feeling of financial analysis, however you need a good level of statistics to understand most things.

I expected to learn to build stock market modeling in Python using statistics but did not really learn anything.The videos are short but you may have to take hours to digest the videos. Also, many of the codes shown in the videos are outdated so when I tried to re-create the model in my JN the codes didn't work. Even the codes already given in the course notebook contain so much errors when I try to run it. Please update the codes so they can run properly.Also all the technical formulas were not explained clearly. The professor just showed the formula and explained a little bit but did not go in too much depth leaving me confused of the use of the formulas.I would not say doing the course is a total waste of time. It has some values but I think it will be much much better if the codes are updated and the formulas are explained better.

Pros:

A neat introduction to python and financial analysis.

Good use to example/Case Study

Great forum of students.

Cons:

Instructor can get very unclear.

The assumed knowledge required in this course is not 100% suited for be beginners, as i've had to do ALOT of individual research on the side. 2 hours worth or work could extend to the whole day.

The expectation is to understand python and methods of financial analysis on a high level, but instructor deep dives into granular detail (which is a pro as well) which arent explained properly.

Continuing from the above comment, the codes in the videos are outdated/misleading. They definitely need to be fixed. A huge chunk i had to spend alot of time to diagnose.

Overall:

I believe the course can be updated and assist alot of individuals learning python and financial analysis

Statistical concepts have little explanations on the theories behind them. It almost felt like it was just being listed out at times before showing how it's implemented in Python. If you never took a stats. course in your life, I'd recommend doing your own research on how those concepts came to be on your own before moving on to the next one. I also understand not all Professors' are fluent in English verbally, but sometimes you still had to guess what the Prof. was saying because even the transcripts were wrong. There were also some mistakes in the course material, but fortunately it was pointed out and clarified in the discussion forum. All in all, despite the negatives, I do think it's a good, straightforward introduction to using programming for financial analysis.

The ppt slides are very nice. The concepts are explained in a very simple way, and the Python codes are helpful.

But for the 4th quiz, the links do not give the right places to go for answering the questions. I would recommend to include snapshot pictures in the questions rather than having links there.

This course can be very helpful for people who are taking Financial Mathematics course, in particular for those who do not know how to use Python yet. Following the course and steps given by this course can really save these students tons of time on their assignments.

Xuhu made a commendable effort in the early part of the class in teaching the basics of this course. Over the last 2 weeks of content however, significant external reading is required for students to do independently from the course content (not a bad thing) but know that extra effort is required to pass the later stages. For the most part, you should have the basics of python prior to taking this course or you will struggle midway. Nonetheless, it was definitely a commendable effort from this course.

Either content should be split into more modules or more lectures to be added in existing modules such that details are covered with a slightly more elaboration. Notebooks must include exercises rather than passive demos of techniques. Students may be provided with reading materials/links as followed by Coursera in other courses.

This course gave me an idea of financial analysis tools available and its usage in Python. Thank you for the free course

Overall good, the professor is delicated and responds to the forum actively. But the course could be better designed. Even though I have learned the knowledge of statistics, econometric, and python and got a 100% certificate, the course is still difficult for me to digest. I have to pause the video and think 5-8 times per video. The pace is so fast that some usages of the python or applicaions of finance equations lack sufficient illustration.

The course is good to give an insight into python and statistics. At many places I found the course to be rushed through skipping basics. But if you can be curious you can find the explanations on google and continue with the course. Over all a 3 as I found the examples to be insufficient and the entire course was only taught through coursera Jupyter so transitioning to Python on your system will require learning curve.

1: pronunciation of the professor shold be improved, god please. It bothered me a lot that i can learnt efficiently. 2: some links are wrong when i took the test, so how can i answer the question that i can not even look at the related contents of the questions? 3: some parts are too rough that has not goood experience especially the gap between 2nd week infos and the 3rd week infos.

I wish the concepts in this course were gone into more in depth. They aren't necessarily difficult but they can get complex and when the instructor spends an accumulation of 30 or less per module it is hard to fully understand. More practice is needed as well. All the code was done for you except for just a few lines. People who learn by application will not gain much from this course.

Though, the course has got potential to be further refined with the inclusion of some of the foundational concepts of finance.

I would rate it 3 out of 5, because of slight difficulty in understanding lectures due to speech delivery, lack of challenge in the form of already filled labs, however, there are some good foundational concepts as well to get yourself started in stock trading.