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Avis et commentaires pour d'étudiants pour Python and Statistics for Financial Analysis par Université des sciences et technologies de Hong Kong

2,626 évaluations
579 avis

À propos du cours

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....

Meilleurs avis

13 avr. 2021

Un curso con una perceptiva muy refrescante en cuanto a los conceptos técnico-estadísticos y sumamente prácticos. e incluso baratos, de implementar dentro del mundo de la inversión. Muy buen trabajo.

23 mars 2020

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.

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476 - 500 sur 586 Avis pour Python and Statistics for Financial Analysis

par Emmanuel C C

27 mars 2021

I like, it mostly that i think

par Vishal R K

16 août 2020

Should have been more brief!!!

par Anisha .

28 nov. 2020

Very good and useful for me

par Ali I

24 oct. 2020

sound knowledge gained

par Luis O

15 oct. 2020

It is a good course

par Debaditya D

1 juin 2020

The course is good.

par Ahmad M

31 janv. 2019

i have learned alot

par Pablo I M B

23 août 2020

Fundamental level

par Preeti B

23 juin 2020

great course

par Ademide A

18 avr. 2020

Lovely couse

par Marco F

4 juil. 2021

Pretty good

par Gloria D

9 mai 2020

Thank you!

par Ankul S

11 juin 2020

very good

par Aria Z

23 avr. 2019


(1) h

par Soahnur R

13 juil. 2021


par 2026KA30 L L M

10 juin 2021


par Chui S F

18 mai 2020


par Karel H

12 janv. 2020


par Nicholas P B

9 avr. 2020

First parts were pretty good. Good explanation of pandas and how to work with python for statistical analysis. As the course went on, it deviated towards statistics. At times I didn't understand what the professor was saying as he didn't fully explain what he was doing. Sometimes he would go through topics to quickly without explaining them in depth, which meant I had to re-watch many videos several times to understand (or at least trying to). I would have also liked to have more of an explanation on the python aspect of how to do things as the course went on. As I said initially, it explained things very well at the beginning, then, it was a bit hard to follow,. Therefore a bit more explanation in the programming at the later stages of the course would have been much appreciated. Overall though it was a good course to get an initial feeling of financial analysis, however you need a good level of statistics to understand most things.

par Maria C F

24 mai 2020

I expected to learn to build stock market modeling in Python using statistics but did not really learn anything.The videos are short but you may have to take hours to digest the videos. Also, many of the codes shown in the videos are outdated so when I tried to re-create the model in my JN the codes didn't work. Even the codes already given in the course notebook contain so much errors when I try to run it. Please update the codes so they can run properly.Also all the technical formulas were not explained clearly. The professor just showed the formula and explained a little bit but did not go in too much depth leaving me confused of the use of the formulas.I would not say doing the course is a total waste of time. It has some values but I think it will be much much better if the codes are updated and the formulas are explained better.

par Kenley L

26 avr. 2020


A neat introduction to python and financial analysis.

Good use to example/Case Study

Great forum of students.


Instructor can get very unclear.

The assumed knowledge required in this course is not 100% suited for be beginners, as i've had to do ALOT of individual research on the side. 2 hours worth or work could extend to the whole day.

The expectation is to understand python and methods of financial analysis on a high level, but instructor deep dives into granular detail (which is a pro as well) which arent explained properly.

Continuing from the above comment, the codes in the videos are outdated/misleading. They definitely need to be fixed. A huge chunk i had to spend alot of time to diagnose.


I believe the course can be updated and assist alot of individuals learning python and financial analysis

par Kelvin Y

20 mai 2020

Statistical concepts have little explanations on the theories behind them. It almost felt like it was just being listed out at times before showing how it's implemented in Python. If you never took a stats. course in your life, I'd recommend doing your own research on how those concepts came to be on your own before moving on to the next one. I also understand not all Professors' are fluent in English verbally, but sometimes you still had to guess what the Prof. was saying because even the transcripts were wrong. There were also some mistakes in the course material, but fortunately it was pointed out and clarified in the discussion forum. All in all, despite the negatives, I do think it's a good, straightforward introduction to using programming for financial analysis.

par Ruiping G

12 nov. 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.

par Timothy E T

3 nov. 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.

par Surendranath M

2 juil. 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