Learner Reviews & Feedback for Python and Statistics for Financial Analysis by The Hong Kong University of Science and Technology

Great course as a Basic for Data Analysis. Not very in depth analysis of finance.

went too fast sometimes. basics were not made clear the course matrial is good

Some of the material of the course needs to be updated including the quizzes.

Many things were left unexplained. A step by step procedure wasn't followed.

More explanation were required on the codes, being a beginner level course.

Pretty solid course, kind of difficult to grasp at times to a newcomer.

No coding based assignments. Not too useful.

The videos could have been more explanatory.

Es un curso para interesados en trading

Python codes are not really explained.

its a good learning experience for me

the content is amazing but outdated

It was a bit hard to follow

...

The topics are interesting and some basic statistics/finance knowledge are required for the learner. The cons of this course is there are no coding practices or homework. The Jupyter Notebook included after each lesson basically asks you to copy and paste the syntax provided. The student's knowledge base is evaluated only through simple quizzes, which I found absolutely insufficient. Only when the hands get dirty can a student actually master the coding skills. I won't recommend this course.

需要一些基本的统计学和金融知识，但没有作业自己不用输代码，coding skill得不到训练，不推荐。

I really cannot recommend this course. Course tries to touch two major topics: Financial Risk Management and Statistics. In both disciplines course is only scratching surface of the subject without going into any details. Just for quantitive estimation, FRM is 100+ hours of material, Statistics - another 200+ hours. Whole course contains definitely less than 4 hours of lectures.

On the other hand - course is some sort of source of topics you need to find yourself over Internet and learn yourself.

In evaluating this course, it took me a while to identify the target audience from the course materials. The statistical content is too fast-paced and lacking detail for newcomers, and that the Python content is de-emphasised. I suppose that this course is a good introduction for those outside finance seeking an introduction. Looking at this course as exercises to improve my Pandas knowledge, I left disappointed because there was no course Python assignment in implementing a trading strategy.

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

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.

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 :)

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".

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.