Un curso con una perceptiva muy refrescante en cuanto a los conceptos técnico-estadísticos y sumamente prácticos. e incluso baratos, de implementar dentro del mundo de la inversión. Muy buen trabajo.
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 Fernando D•
Es un curso para interesados en trading
par sachin t j•
Python codes are not really explained.
par HRIJU S•
its a good learning experience for me
the content is amazing but outdated
par DAWN M 1•
It was a bit hard to follow
par MOHD H•
par Chutian Z•
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.
par Volodymyr M•
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•
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
par Nico M•
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•
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 Lale N•
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•
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".
par Mohini J•
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
par Panguluri B T•
Poor Explanation of topics, was in a very hurry to complete than in explaining the concepts in depth. Did not reach expectations.
par Jacob G•
More coding please. I was looking for more linear modeling examples and implementation. The rest was relatively easy.
par HIMANSHU V•
Lectures are not very informative. Things are said directly and not explained well. Sadly I paid $50 for this.
par Danny w•
The teacher need to learn better pronunciation and slower pacing
video lecturing lacks clarity and big picture context
par Eliad H•
not improving python skills
par Lubie W•
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.
par Liem J L•
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
par Anas A H H•
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