Mar 23, 2020
A very good introduction course to python programming and it has a perfect combination with statistics, which makes financial analysis more interesting and refresh my mind on it, thanks.
Mar 25, 2020
Very clear explaining of the significant aspects when structuring a financial analysis, applicable in many forms of data if you don't want to make predictions only for the stock market.
By Volodymyr M•
May 19, 2020
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.
By Warren V•
Apr 1, 2021
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.
Feb 1, 2021
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
Jul 3, 2020
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
By Nico M•
Nov 25, 2019
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.
By Victor M•
Nov 6, 2019
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.
By Andrey P•
Apr 29, 2022
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.
By Jonathan Z•
Sep 29, 2021
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.
By Rohit P•
Feb 7, 2022
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.
By Lale N•
May 28, 2020
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 :)
By Nicolas P•
Sep 1, 2019
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".
By Vikram N•
Feb 25, 2022
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
By Mohini J•
Mar 21, 2020
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
By Panguluri B T•
Jul 10, 2020
Poor Explanation of topics, was in a very hurry to complete than in explaining the concepts in depth. Did not reach expectations.
By Jacob G•
Jun 23, 2021
More coding please. I was looking for more linear modeling examples and implementation. The rest was relatively easy.
By Andrew D•
May 24, 2022
Not enough detail. Lectures have good material but a lot of information is presented too quickly. Labs are good
By HIMANSHU V•
Aug 13, 2019
Lectures are not very informative. Things are said directly and not explained well. Sadly I paid $50 for this.
By Victor H C C•
Jun 17, 2022
weak, not really good course, just showing some basics of data analisys and concepts.
By Danny w•
May 6, 2020
The teacher need to learn better pronunciation and slower pacing
Feb 24, 2021
video lecturing lacks clarity and big picture context
By Eliad H•
Mar 12, 2019
not improving python skills
By Wickson H•
Feb 28, 2022
Too difficult to beginner
By Lubie W•
Aug 9, 2020
This course teaches statistics more than Python coding. The codes are not well explained or even not explained by the instructor. The instructor spent more time on statistics concepts than going through the Python coding. I learned very little about Python in this course.
By Liem J L•
Nov 15, 2019
Should be better explained. Could not get past the first few lines in the practical. Looked at the discussion board and people were saying it was because the course is outdated and the code he explained might not even work with the version we were using
By Anas A H H•
Jun 16, 2021
1- the language spoken is not clear (I had t oread the subtitles more than listening which was a horrible experience)
2- the labs are bot built in the right way, lots of errors and lots of data changes that effected the application of the commands