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.!
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 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 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 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.
par Norberto Q C•
Deberían actualizar los codigos que cambiaron porque es muy dificil sino para alguien que no sabe de python buscarlo por su cuenta. Por ejemplo, el codigo para importar archivos csv cambio
par Vladimir C•
It was a very good course that gave me quick and dirty tips on how to use python to generate statistical analysis of finance data. Need to update some of the course materials though.
par Anton A•
Some spelling mistakes in the course materials, but otherwise a good overview of the topic. Would have liked to see the notebooks be more interactive, like for weeks 1 and 2.
par Ratish R•
The study materials and lectures are really helpful to gain the required knowledge of Python and its application in financial field. The model creation was the best one.
par Jie L•
Great slides and great example. Some quiz problems seem to contain errors. Quiz problems link to the notebook are difficult to navigate. Only reason to give a 4-star
Week 4 could have been taught in more constructive manner like the previous 3 weeks' content. Otherwise, it's a great combination of Finance, Statistics, and Python.
par Prateek A P•
Kinda complicated on the statistics front if you're a beginner like me but I appreciate the knowledge I gained on how to handle financial data using python.