In overall great course! As a Data Engineer and a Economics major I thought the course would be a little bit better, but in overall it covers all the minimal aspects of econometrics and basic python manipulation. If you never used Data at some big level or econometrics this course is for you, because covers all the basic that you learn in college

It is very practical, and you can really achieve something within short time, but the pace is a bit fast, and you do have to do some additional research in order to follow up. You get insight in finance, statistics and python. But it is not a pure python course, so you would want to find something else if you want to learn particularly python.

The course is easy to understand and well designed. The most impressive part was how concisely the statistic concepts was explained. However, it may require the attendee have certain extent level of Python knowledge beofre taking this course. Otherwise, it will be little chanllenge to understand the data mungging part and replicate the same

Good course! It demonstrates how python can be applied on financial analysis. Better to have some prior knowledge on python and statistics before taking the course because this course seems to aim at showing the relationship between textbook statistics and python in financial analysis instead of teaching you basic concepts from scratch.

Es un curso muy completo y claro. La metodología muy adecuada y los talleres están bien diseñados y proporcionan claridad en todos los temas. Solo faltan más lecturas teóricas de los temas estadísticos y financieros y podrían incluirse más ejercicios prácticos que refuercen los conceptos aprendidos.

Me encantó el curso.

The course is good for those who have basic knowledge about stock market and statistics. It's very good starter and the concepts are very clearly explained. At the end one can experience the live analysis of the concepts which gives a clear direction about how to use the statistical methods for price estimation

This is a really great course if you are looking to get an overview of application of Python and statistics in the domain of finance. I would call it a beginner course but would definitely recommmend it to someone interested in finance and wants a quick survey of the basic high level view of quant finance.

very good. more description of each of the words, atleast definition would be helpful. Use a white board to draw a picture or show something relevant to the words/subject. I don't know, this correct approach or not.

I did not buy the certificate, It cost a lot $50. If it is $5. I would consider.

thank you

A complete course about Statistics and Econometrics tools for finance. I appreciated Jupiter notebook that made it very useful and full of practical applications. The level of the course is bachelor's degree. Recommended for whom who have a previous experience with statistics and wish a refresh on it.

El curso es bueno, la verdad es facil de comprender si ya tienes un nivel basico o medio de python, si tienes 0 conocimiento es algo confuso, aparte los terminos en español e ingles cambian constantemente, si haras el curso te recomiento tomar muchas notas sobre las entradas y para que sirve cada una

Due to the fact that it's the first course I've completed on Coursera, I can't compare this one with any others here. But I should admit that it gained me a lot of insights on my way to study Data Science. That's how the statistics should be taught - only with the assistance of proper software.

Associate Professor Xuhu Wan of HKUST ensures that a student learns both the python programming to build predictive models and the concepts of the models. To build your applied financial analysis skill set, this high caliber course ties together python programming practice with statistics.

The course is a great introduction for people who haven't had experience dealing with stock trading models. The statistical concepts given and Python lab commands provided will let students to get on the way to financial analysis, building models and further experiments with market data.

Very usefull material especially for people who looks for a beginning point . To full understand this course you need to know about statistics and computing but personally helped me a lot. I would recommend it to anyone who desire to enrich his knowledge in field of finance/trading.

The course was practical indeed not very difficult, i apologize it is not sponsored any longer. It mixes real and basic stochastic concepts applied to financial analysis with some Python. Perfect for not experts in neither of the 3 disciplines (Statistics, Python, Financial Markets)..

I am very much grateful to The Hong Kong University of Science and Technology for the tuition especially (Xuhu Wan) and to Coursera for the financial aid which allowed me to partake and also get closer to my aspirations and goal. It was a great time, course delivery was the best.

This course is really very good. Very much informative, and that's too in 4 weeks. You need only a little Python and Statistics background. There is no doubt that you will learn to model financial data, your Python and Statistics skills will also improve. Thanks to Prof. Xuhu Wan.

I enjoyed a lot this course. I've seen both the notebooks and quizzes very interesting and instructive.Videos were deep enough to follow the subject consistently.Maybe it should be updated in Python and Pandas versions, however it's not a big problem to follow the course at all.

I have done some analyses using python, but none emphasizes using statistics for financial analysis. Thus, this course is a good starting point for anyone interested in using python and statistics for financial analysis.

Kudos to the Professor and all who structured the program.

I really enjoyed this course. It’s incredibly practical and well-structured, with clear examples that make learning easy. The tools and techniques taught are immediately applicable to financial analysis, making it a valuable resource for enhancing my skills. Highly recommended!

One of the best course I did that covers Python, statistics and finance with real examples for hands-on training and understanding the concepts. The examples of testing trading strategies in Python made the content and course much more engaging. I am so glad I did the course.

It increased me a lot my knowledge of Statistics and I do not regret the time I have spent with this course. I can say this course improved my studies even more!

Material and classes were perfect and very well explained!

Thank Hong Kong University for this amazing opportunity.

It is a really basic introduction to Financial Analysis using Python. It is easy to do, it just focuses on important commands and indicators. Plus, you won't need to download the Python program in your computer because all the exercises can be done online in Jupyter.

Great fundamental course provided by Prof Xuhu WAN. After finishing the course, I am appreciated that he put lots of good efforts in the training materials. All concepts are delivered with clear examples! Highly recommend to take this course. Thank you very much.

The course provides great insight into how python can be used for statistical analysis. This has become extremely helpful in examining finance-related data. Professor Wan is really to understand and his explanations help ease the difficulties of concepts.