I, Anjali Krishna R, after completing this course can say that this course really helped me to have a clear understanding of my knowledge in the field of statistics and cleared some doubts which I had earlier. It also helped to know some more concepts of using python. Earlier I thought python is so difficult etc. Totally, I am really thankful and sincerely thanking the professor for everything ie in the field of your explaining those facts and the subtitle. Really I enjoyed doing this course and may it help me to achieve a career with this course. Thank You.

It has been an exciting journey in my studies. I have been exposed to several real time data and skills which have been added into my library of knowledge. The journey and adventure has been insightful which I also hope to continue learning in building and broadening the scope of my studies. Python and Statistics are among the powerful areas where the Financial Modelling and Machine learning heavily depend. The instructor has been so amazing with his well thought skills. I thank Coursera for the opportunity of learning. Cheers!

Excellent introduction course to use Python and Statistics for stock market data analysis and trading strategies. I really enjoyed the course and it is well organized and set up, it kept me motivated to complete the course. I did not have any prior Python experience but managed to follow the course and you do not need to have Python installed on your computer. I agree that you will definitely get more out of this course if you have prior knowledge of basic statistical concepts. Overall, a fantastic course.

This course is exceptional. If you look to apply statistical analysis to financial market data by the use of python, I don't believe that you find something better than this. It is helpful, if you are familiar with basic statistical concepts (descriptive and inferential statistics as well as linear regression), and if you are familiar with python and its data sciences packages. Otherwise you may use the course to deepen your knowledge in these areas on the go. I truly can recommend this course.

Good course for people who want a quick introductory into using Python and Statistics for Finance. It covers quite a lot but does not provide too much detail which needs to be researched outside of the course. Given I had a little bit of experience in Python and worked in Finance and Statistics for several years this course was a good balance for me however if you have no experience it might be struggle to make the jumps with each week without more context/ detail which the course lacks.

this is a wonderful course with well-prepared videos to illustrate and well-organised Notebook for practice. the final score you will get is only depended on four quizzes, but it is always useful for you to watch videos carefully and try very best to type codes on Notebook provided for you, which can also benefit your quizzes. you can some basic sentence structure of Python and grasp the practical tool to build a model to make financial inference. with light workload, you can get a lot.

One of the finest course in this field. I have already done 2 courses on Python and Statistics for Finance and this was the third one. Amongst the three this is easily the easiest to understand and best course for sure. I will look forward to course from this professor or university in the future. Week 3 and Week 4 from the course are like a gold mine for any learner. And the jupyter notebook exercises give just the required practice immediately after the concept is learned.

It is a very good course to learn the basics in python to analyze financial stock market data. However, if you don't have prior knowledge to statistics and financial data (variance, histograms, regressions, value at risk, hypothesis testing, ...), the course might be to fast to understand the background, because you cannot explain all these things properly in 2-3 hours of video. But I guess most people who want to analyze stock data in python have this knowledge.

I'm happy to have done this course because I just wanted to brush up on my python skills. All the finance and statistics bit of this course was already covered by my undergraduate degree ( in Elements of econometrics), which helped me get done with this course within 12 hours but I would still suggest other students take your time in finishing it. Thank you, Mr. Xuhu Wan, you were of great help, and thank you Coursera for providing me with this informative course.

I am a student in his Statistics class at the Hong Kong University of Science and Technology, and this course helped me review key statistical concepts that we saw in class. Moreover, this course serves as a great introduction to Python. I am now able to make my own prediction models, which will come in handy as I will be able to make more accurate decisions. I am looking forward to use statistics to better understand the world around me. Thank you Professor Wan!

First thanks a lot for making this class available to everyone, I enjoyed the class as it's very straightforward and directly applicable to trading/financial markets. It also used some theoretical skills from uni directly to the financial world and it was really well explained. There was some small mistakes along the way given different version of python and I had to look up some things online to understand but overall the class was really great so thanks again

The videos are relevant to the curriculum provided. The videos are straight to the point and give some fundamental theories and concepts of statistics, although sometimes it isn't detail enough and I had to search through another sources for additional information. But overall, the course is enjoyable, and has given me some insights about how to analyze data, particularly in stock market. It stimulates me to dive deeper into statistics and data analytics more.

This is a good course for beginners. It introduces the basic concepts in a nice manner and you can understand things easily. If you have a prior idea of python, statistics and finance it will make your journey smooth. The videos are helpful and easy to follow. While the jupyter notebooks are great and make it convenient for anyone to attend, i would suggest that you try and do this on your own standalone work desk as well to gain a better perspective.

Excelente curso para una introducción en Python. Muy útil para aquellos que no tienen conocimientos previos de esta herramienta, además brinda la oportunidad de emplear las bondades de la herramientas en el análisis financiero, en especial en trading. El tutor y los recursos utilizados se conjugan muy bien para ofrecer una agradable experiencia de aprendizaje en temas de estadística, machine learning y análisis financiero. Muy recomendable este curso.

This article provides a broad application of Python, finance and statistics. Actually, I'm looking for classes like these. I haven't found any yet. Atlast takes this as consolation. This was what I needed. This course cannot be designed as simply as other courses. This really needs to be done once. Thank you to both the person who devised the course and the instructor, Mr.Xuhu Wan, for their careful attention to detail in delivering the information.

It is an interesting course that will introduce you to the very basics of financial analysis. For those not familiar to Python, it is also a nice introduction to use Python and a few important libraries, such as "pandas". Note that the course does not give very detailed information about Financial Theory. I recommend this course if you want to have a quick introduction to Python analysis applied to Financial Market. It is a very enjoyable course.

A very informative course, getting more intense every week.

The professor goes through the statistics needed to understand end evaluate linear models using stock data and at the end it guides through building a daily prediction for SPY.

The only drawback are that the video might look short, but they are dense, and sometimes the professor use different names for the same concept, leaving you to connect the different names, e.g. Error ≈ Residual.

I found this course good for beginners in learning Statistics for Python programming, fairly there is a lot of information to digest. I'm content with the lessons and excercises for being very comprehensive, as well found the discuss forum helpful for sharing mistakes, thoughts and solutions.

I would reccomend this course to those who wish to understand the applications of stats in programming, or to expand their understanding of it.

Thanks!

Everything is well explained and the code is well laid out for the student. Thank you!

My encouragements to take te time to fefresh the code to go with pandas updates, as the code may be simplified. In particular:

- week 1 comprehensions aren't necessary since np.where() exists (rolling average based strategy),

- a couple back-and-forth between series and dataframes that I have avoided in my runs (mimicking dice rolls)

A short course that shows how to handle time series data, run a multiple linear regression on it, and evaluate the results. This is only an introductory course, and as such it is clear and concise and thus deserving of 5 stars. However it only touches the surface of Python, statistics or trading. As for trading - before risking Real Money - it is strongly advised to learn much more on the subject of stock markets.

It was an awesome course and learned a lot from the instructor. One thing i would suggest for those who are taking up this course is you should have a basic knowledge about stat and python libraries because course itself didn't told much about those things from scartch, overall the content and the way instructor had arranged this course is good and informative in my perspective. Thank You!!

well, I expected the course to focus more on specific forecasting algorithms. But at the same time, I realized and learned how a solid base on statistics is fundamental, mainly for interpretation. It was an interesting surprise, even if it wasn't what I expected it ended up surprising me in a positive way. I just think the last week has become very information-dense, but overall, I loved it.

Learning Python for statistics and its power through real life examples of Stock markets maintains the interest in learning uninterrupted. Thanks to Prof. Xuhu Wan for making the learning so interesting and simple- minute details of both, the Stock market and Python, I owe all my knowings of market and trends to him for simplifying the most confusing statistics in the world.

Bonsoir,

vraiment avec une immense joie que je vous écris ce message, merci à toute l'équipe qu'a su faire preuve de professionnalisme, vraiment c'est été un contenu incontournable, qui va m'aider beaucoup de mon travail de recherche, je vous encore une fois pour ce cours et je vais rester fidèle à tous vos cours en ligne.

AMZILE Karim

Rabat,Morocco

+212600652676

可以學到與投資、python、統計的相關知識

唯一美中不足是測驗題的超連結皆已失效，無法查看該資料後作答。

It is a nice course to learn python statistics and how to build and evaluate investment portfolio.

The only one drawback is that the link in the test problem can not work.

So student can not view the question reference and answer it.

Really hope that Coursera can fix this problem and promote the learning experience!