전공이 금웅공학이나 금융분야는 아니지만 관심이 많아 찾아보던중 이 강의를 들어보았습니다. 결과적으로 말씀드리면 이 강의는 대학교의 명성만큼 어느정도 수준이 높은 강의이며, 기초지식으로 파이썬과 통계학을 요구합니다. 저같은 경우, 전공이 IT여서 파이썬과 통계학을 배웠음에도 불구하고 금융적인 해석능력이 부족하여 많이 고생하였습니다. 만약 이 강의를 듣기를 고민하고 있다면, 자신이 통계학과 파이썬을 어느정도 할 수 있는지 자체 레벨테스트를 할 필요가 있습니다. 강의의 구성과 교수님의 설명은 전체적으로 만족스럽습니다. 이 교수님이 조금 더 낮은 레벨의 강의를 개설하여 입문자를 더 많이 늘렸으면 좋겠네요.

Great Intro. course to Python application in the Financial domain. It will be beneficial to have some Python and Pandas background. Good examples, very practical.

It's a great course - with many practical examples. But this course needs some basic Statistics and Python knowledge to really follow along with some "deep concepts".

It is a short and well organized course with a gently introduction to the popular Python's data analysis library, Pandas. In addition, the course shows sufficient statistical and financial tools to build simple and practical strategies that put some light on the obscure (at least for some people) market stock analysis.

First course I've completed using Coursera initially found it difficult to get to grips with embedded python, but quickly got to grips with it, really interesting course and a brilliant introduction to python and statistics for financial analysis think the course was really well structured.

Generally a very informative course on how to use python for financial analysis. Some of the concepts are not clearly explained. Would recommend to have a little basic finance background and to have some ideas about statistics as these concepts are only vaguely explained during the course.

Good and quick course for beginner to use python for financial analysis. The Jupyter Notebook is advanced development environment for python and academic/scientific researcher, but difficult for beginner. Would suggest to have a summary card for all the commands used during the course.

Good pace, instructor at times is hard to understand, had to look at the transcript to understand some parts. Course only scratches the basic parts of python and statistics -- good beginner course, but may require small knowledge of python and basic statistics before beginning.

Es un curso que presenta conceptos interesantes sobre el mercado bursatil, y explica de manera clara la manera en que se pueden analizar los comportamientos de diferentes indices bursatiles. Es importante tener conceptos previos de estadística y algo de logica de programación.

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.

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

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

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.

Completely recommended!

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.

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.

Thanks Again!

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.

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.

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.

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

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

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.

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.

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.

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.

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