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.
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.
par Jack W E•
I thought this offered a very valuable introduction in to the use of Pandas within Python, with work through notebooks and examples in the videos.
par Karthikeyan T•
The course gave food insigts on Statistics mainly with little less weightage on Python. Overall a decent start for financial analysis with Python
par Anushka C•
Overall the course is good but the python codes used are not explained properly. So for python beginners like me, it was difficult to understand.
par Chiu S W T•
The content of the program is very useful although some question in the quiz are needed to be updated. I have learnt a lot! Thank you very much!
par Nicolo d G•
Relatively easy course that has taught me a number of useful panda tricks. Notebooks are used just for demonstration and not very challenging.
par Amelia D P A•
it is a good course, statistically detailed explanation, discussion forums are also very helpful when I have difficulty undergoing the course
par David M•
Great for an intro / refresher in statistics and forecasting fundamentals. Would recommend having some Python knowledge before registering.
par amit d•
Professor can do hands simultaneously with lecture then it will be more beneficial and easy to understand instead of explaining from slides
par vineet b•
A decent beginners guide to financial analytics.
Don't expect much as this is more like a foundation course for more in depth complex once.
par Kuanzhi L•
It is a good start for me to pick up more Python techniques for Financial Analysis. Than you Prof.Wan and Coursera, also my school ESSEC.
par Vijay D•
It is course to learn the linear regression along with stock market basic information and strategy. Well organised and simple takeaways.
par Luis M•
Very good content and excellent notebooks! Didactics (concepts, their relation with each other and applications) could somehow improve.
par ABIEL J S T•
Para personas avanzadas en Python y con un conocimiento anterior acerca del Probabilidad e Inferencia estadística, muy bueno el curso
par Phi L B•
Very interesting, but some concepts went too fast. It is also very difficult to learn how to code, other than copy-pasting the lines.
par Sebastian C•
Great course. Learned Python and Statistical Analysis. This course could add more content as I have enjoyed the learning process.
par Ramazan A•
Background required, the course often provides no additional/explaining information about technical details, need to use google)
par Francesco P S•
Overall nice course. Sometimes the instructor skips some logical steps. It would also be nicer to see the coding happening live.
par Udit N•
You need fairly good knowledge of Python and statistics to complete this course. The course is interesting and well structured.
par Rajeev K•
It would have been great if getting certificate of this course is based on passing "PROGRAMMING ASSESSMENT" for each module.
par helio h•
This course is very good, but the level of difficulty of the questionnaires is very easy, which does not match the class
par Cristiano d L L•
Very good, for educational porposes.
A nice combination of programming, in python, statistics and regression analysis.
This course is practical and very useful. It is recommendable to have previous knowledge about python and statistics.
par kaustubh m•
The Course gives a basic idea of how statistical distributions can be employed through python for financial markets.
par Yash C•
Great course, the python could be explained a bit better though, have to keep googling various forms of syntax used!
par Oliver W•
Very fundamental course for statistics. However, machine learning now is a more common method to do stock analysis.