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 Juan d D•
The content of the course is really good.
The amount and density of the information for the last week is high. Specially compared with first week. Would be great if it could be balanced information per week.
Time to time the (English) pronunciation wasn't good enough.
par Deep S•
The course has offer me a insight in Python in Statistics and how I can implement in the field of Finance.
Overall difficulty was moderate to high, Week 4 was way to difficulty, I would suggest that a person with Knowledge on Statistics should apply to this course
par Sergio J•
I agree the content is extremely useful, especially, for people who are starting to learn about finance, and statistics. The only complain was that my expectations were rather a focus in python than in the finance concepts themselves. Overall, a great course
par Bryan M•
It has been a really interesting course, but I expected to learn a way to get the signals using a price action analysis, or even identify some support/resistance areas. However, it has given me some ideas to continue with my learning.
par Julian W•
Nice intro to using python in financial statistics. I dont have financial background so a lot of things were too complex for me. In general this course will not teach you statistics or python but will rather show potential in learning both of them together.
par john s•
good overview. some of the formulas were a bit hard to follow initially. need to plan to spend time on labs/examples to get the hang of it. a little more explanation of interpreting results would have been nice. overall, good course.
par Alvaro V T•
The course was good, however the resources used are sometimes confusing and lack information
also, the tests have links and NONE of them work (at least on my computer)
In general, thank you for making this course available for everyone ;)
par Francisco R•
Too much too fast. I was having trouble keeping up in some lessons because i didn't know how to code in with Python in the first place. But overall, good course and use of statistics applied to finance modeling and analysis.
par Richie S•
Good introduction to Financial Analysis. However people with no background in statistics may have trouble. Moving back and forth between lectures to recollect small details makes it a good learning tool.
par Gregório P d O•
The course is very short and condensed, serving as an introduction to Finance with Python. More examples and exercises are needed to explain more about the topics, but overall it's pretty good and straightforward.
par Zacharias L•
I have learned quite a lot from this course. Econometrics and statistics are an important part of Financial Analysis of course. I would prefer if the course drew more deeper into the mechanics of Python, however.
par Matthew B•
Good course with introduction to some statistical concepts and surface level python. Does not go into great depth with python and the jupyter notebooks could be a bit more challenging but overall a solid course.
par Saksit S•
This is very fun course but i'm not recommend for beginner at least you need to have knowledge of statistics and basic machine learning(test,train) these will help you more understanding while study this course
par Lorenzo P•
Really useful tool to know something about libraries like Pandas, Numpy, Matplotlib, Scipy and useful review of statistics. Pity that algo trading strategies don't work very well. Maybe they require more study
par jitesh p•
The course is power-packed and sound technically, I as an MBA student would recommend you guys to study statistics as a prerequisite before this course which will help you to understand this course better.
par Christopher A E•
Great Course, may be hard if you don't have basic knowledge of statistics and some principles of Finance. I wish there was a specialisation or follow up course, found the videos, readings and labs great.
par Quentin D•
Good class to learn the basics of statistics for financial analysis, the Jupyter Notebook is great and the exemples are very practical. It makes it a good starting point if you never used python before.
par Eric C•
The course was very good and gave useful skills for statistical analysis with python. I do wish there was a more detailed introduction to the course for people who may not have a technical background.
par Edoardo C•
Very basic and easy to follow if you have enough programming and mathematics background.
It provides a useful insight on some of the foundations of the techniques and ideas used in Financial analysis.
par Anniina K•
This was a really good and useful course for me. All of the concepts were explain well. However, since I am very familiar with basic statistics, some of the things were a little bit too easy for me.
par Sai G B•
Course content, pacing and assignments were excellent. However, it is hard to get all the statistical concepts without prior background. Providing reading materials in the relevant topics would help
par Chun W P•
Great fundamental course. However, some codes are outdated and it is somewhat troublesome to find the right code as a coding beginner. I've also learnt a lot from the 'finding' process too though.
par Kexin X•
The linear regression part is useful and the trading strategy is also very helpful and inspiring. But statistics knowledge is definitely required to gain a thorough understanding of the topics.
par Abi A•
Gives a good introduction to the topic but I needed to allocate time for further reading on the topics presented and to fully grasp the concept, which is more or less expected of any student.
This course explained the Python code in great details and the forum for support was great. I would like if there were more materials to read to understanding the statistics that were used.