3 août 2019
Great course! Very didatic explanations about financial and statistical concepts also with some interesting practical Python for Finance! Looking forward for new courses from same Univ. and prof.!
23 mars 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.
par KAUSHIK N•
6 mai 2020
More explanation were required on the codes, being a beginner level course.
par Jacob R•
28 juin 2020
Pretty solid course, kind of difficult to grasp at times to a newcomer.
par Roberto C•
13 juin 2021
No aterriza es algo práctico que pueda utilizar para el análisis
6 mai 2021
It was pretty hard to understand concepts at the end
par John K•
2 janv. 2022
Course is more about statistics than python.
par RAHUL N•
7 juil. 2020
No coding based assignments. Not too useful.
par Chaitanya G•
28 avr. 2020
The videos could have been more explanatory.
par Fernando D•
2 avr. 2020
Es un curso para interesados en trading
par sachin t j•
16 nov. 2020
Python codes are not really explained.
par HRIJU S•
27 juil. 2020
its a good learning experience for me
26 sept. 2020
the content is amazing but outdated
par DAWN M 1•
13 avr. 2020
It was a bit hard to follow
par MOHD H•
5 déc. 2020
par PRADIP G•
9 mai 2022
par Volodymyr M•
19 mai 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.
par Warren V•
1 avr. 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.
1 févr. 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
3 juil. 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
par Nico M•
25 nov. 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.
par Victor M•
6 nov. 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.
par Pomortsev A•
29 avr. 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.
par Jonathan Z•
29 sept. 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.
par Rohit P•
7 févr. 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.
par Lale N•
28 mai 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 :)
par Nicolas P•
1 sept. 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".