Chevron Left
Back to Python and Statistics for Financial Analysis

Learner Reviews & Feedback for Python and Statistics for Financial Analysis by The Hong Kong University of Science and Technology

3,663 ratings

About the Course

Course Overview: Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data. By the end of the course, you can achieve the following using python: - Import, pre-process, save and visualize financial data into pandas Dataframe - Manipulate the existing financial data by generating new variables using multiple columns - Recall and apply the important statistical concepts (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc. ) into financial contexts - Build a trading model using multiple linear regression model - Evaluate the performance of the trading model using different investment indicators Jupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications....

Top reviews


Aug 3, 2019

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.!


Mar 28, 2022

Very useful introductury course into both python and statistic analysis wich allows you to create a simple trading strategy. It serves as a great first step but there is a long way to go still.

Filter by:

701 - 725 of 822 Reviews for Python and Statistics for Financial Analysis

By Ruiping G

Nov 12, 2020

The ppt slides are very nice. The concepts are explained in a very simple way, and the Python codes are helpful.

But for the 4th quiz, the links do not give the right places to go for answering the questions. I would recommend to include snapshot pictures in the questions rather than having links there.

This course can be very helpful for people who are taking Financial Mathematics course, in particular for those who do not know how to use Python yet. Following the course and steps given by this course can really save these students tons of time on their assignments.

By Timothy E T

Nov 3, 2019

Xuhu made a commendable effort in the early part of the class in teaching the basics of this course. Over the last 2 weeks of content however, significant external reading is required for students to do independently from the course content (not a bad thing) but know that extra effort is required to pass the later stages. For the most part, you should have the basics of python prior to taking this course or you will struggle midway. Nonetheless, it was definitely a commendable effort from this course.

By Surendranath M

Jul 2, 2021

Either content should be split into more modules or more lectures to be added in existing modules such that details are covered with a slightly more elaboration. Notebooks must include exercises rather than passive demos of techniques. Students may be provided with reading materials/links as followed by Coursera in other courses.

This course gave me an idea of financial analysis tools available and its usage in Python. Thank you for the free course

By Reo W

May 31, 2020

Overall good, the professor is delicated and responds to the forum actively. But the course could be better designed. Even though I have learned the knowledge of statistics, econometric, and python and got a 100% certificate, the course is still difficult for me to digest. I have to pause the video and think 5-8 times per video. The pace is so fast that some usages of the python or applicaions of finance equations lack sufficient illustration.

By Jay L

Aug 28, 2022

1: pronunciation of the professor shold be improved, god please. It bothered me a lot that i can learnt efficiently. 2: some links are wrong when i took the test, so how can i answer the question that i can not even look at the related contents of the questions? 3: some parts are too rough that has not goood experience especially the gap between 2nd week infos and the 3rd week infos.

By Andrew C

Oct 16, 2019

I wish the concepts in this course were gone into more in depth. They aren't necessarily difficult but they can get complex and when the instructor spends an accumulation of 30 or less per module it is hard to fully understand. More practice is needed as well. All the code was done for you except for just a few lines. People who learn by application will not gain much from this course.

By Muhammad U K

Feb 14, 2021

Though, the course has got potential to be further refined with the inclusion of some of the foundational concepts of finance.

I would rate it 3 out of 5, because of slight difficulty in understanding lectures due to speech delivery, lack of challenge in the form of already filled labs, however, there are some good foundational concepts as well to get yourself started in stock trading.

By Kwok T F E

Jul 25, 2020

Pros: Learn some python code and review statistical knowledge (SLR, MLR)

Cons: The python code is outdated and may not usable. So time consuming to update the code.

For Example: pd.DataFrame.from_csv(..\...\AAA.csv) which is commonly used in the course

It is not usable as DataFrame.from_csv has been replaced by pd.read_csv(r'...)

Also for loc has significant changes

By Dawid V

Apr 17, 2020

The statistics element is basic and there is very little practice coding with Python. Instead, it is more of a demonstration how Python can be used to implement some regressions and basic trading strategies. Informative in showing this, however overall a bit disappointing as there was less Python learning and practice as anticipated/advertised.

By Sanson

Jun 18, 2021

The course is trying to cover multiple area of skills (python, statistics, and financal analysis) in a short period of time. It might be difficult for people who do not know much computer programming experience to follow the Python part. Vice versa, it might be difficult for people to pick up much financial concepts as an amateur.

By Gustavo V

Feb 26, 2022

It's very hard to follow what the instructor is meaning. I dont agree with some mathematical definitions he states as learned by other methods (estimators as aleatory variables to determine the best estimator). It is the first time that heard of "degrees of freedom". I wish placing more focus on Python than in statitics.

By dan t l p

Jul 4, 2019

Interesting and easy to understand for people with basic background or have basic knowledge about finance or statistic. However, I wish some of the videos may have explained more about how to use the data to solve real life issues. Even though some of the practices may explore it, it appears not deep enough for me

By dima z

Jan 22, 2022

I'm not sure for whom this course is dedicated. To undestand what's going on here you have to know statistics' topics and some Python libraries. This course is showing (not explaining, just showing) to you how to use your statictic knowledge in Python libraries whiches you have to be familiar with.

By Alexander D

Dec 3, 2020

This is overall a good course; it is well explained and very quick. However, it would benefit with assigning more exercises or ensuring that the labs are more interactive. In this topic, practice makes perfect and is very necessary. Also, the quizzes require clicking on links that do not work.

By Miranda G

Sep 10, 2020

Good course but I think that economic concepts should be explained in more depth so that we can work better on Jupyter (which is a great way to teach / learn). I also think that more written material with illustrative examples could be included, not just lines of code that generate results.

By Cesar D

May 5, 2020

Course content is valuable from Statistics applied in Python code. Unfortunately, it didn't give enough examples or use cases for Financial Analysis. I'd like to see more stocks market predictions, studies and models using the Statistics concepts explained on this course.

By Roberto P

Jan 28, 2022

Mixed opinion for this course: is a good introduction to Python, statistics and econometrics, and you actually learn something. But sometimes it asumes you know things that weren't explained before, the exams contain some errors, and the explanations are not always good.

By Eduardo F R

Sep 2, 2020

It has wide explanation of statistics basics on the other hand the model development with python applied in finance has too few examples. I would also suggest data acquisition with Yahoo Finance or Google to be explained as it is widely used in financial analysis.

By Mingyue W

Jun 14, 2020

Tough for a person not familiar with statistics and completely new to python. Would have been good to provide more basics to python as well. However, i would believe it'll be very beneficial for one who has already strong foundation in statistics to follow.

By Marcos T

Nov 9, 2021

No profundiza sobre ningún tema, es más bien un curso introductorio de estadística y finanzas, utilizando phyton para programar, pero al no tener un soporte más robusto de algunos temas de phyton, es difícil volver a replicar lo aprendido

By Deleted A

Apr 25, 2020

first and 4th week was fun and relevent. but the 2nd and 3rd weeks were quite difficult to understand and also lack clarity of what we are learning is how that is going to relate in the trading programming.

By William B

Jul 16, 2020

Could have done with some more opportunities to write pieces of code in different scenarios; many of the notebooks consisted of just running the prewritten code snippets in order and observing the effects.

By Toms R B

Apr 24, 2022

The course has some bit of technical problems, for example in the quizes most of the links are not working so you have to guess the answer. Other than that, a good introduction to python statistics.

By Ricardo P

May 16, 2020

Overall good course but needs to clean/improve some of the code/quizes to be consistent. Does not explain Statistics or financial models well but shows basic idea of how to find/use them in Python.