Chevron Left
Retour à Python and Statistics for Financial Analysis

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

2,807 évaluations
621 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

25 mars 2020

Very clear explaining of the significant aspects when structuring a financial analysis, applicable in many forms of data if you don't want to make predictions only for the stock market.

7 avr. 2021

An excellent beginner's guide to financial statistics using Python's Pandas module. Can be completed very quickly by those familiar with both basic Python and introductory Statistics.

Filtrer par :

576 - 600 sur 630 Avis pour Python and Statistics for Financial Analysis

par Prateek J

9 août 2020

More time should be devoted on python syntax used and more models and examples should be included

par Hugo L M

31 août 2020

It did deliver the content it was supposed to, but it could be done in a more slow-paced manner.

par Arnaud S

20 août 2020

Interesting but it is too fast on more difficult topics (specially the last week).

par Shine A

10 sept. 2020

Great course as a Basic for Data Analysis. Not very in depth analysis of finance.

par Kashyap R

25 juil. 2021

explanation can be better its some times difficult to understand for a fresher

par Shriya K

3 juin 2020

went too fast sometimes. basics were not made clear the course matrial is good


7 juil. 2020

Some of the material of the course needs to be updated including the quizzes.

par Akshara S K

10 mai 2021

For beginners this course would be difficult but I think it's worth learning

par Mehul V

11 mars 2019

Many things were left unexplained. A step by step procedure wasn't followed.


6 mai 2020

More explanation were required on the codes, being a beginner level course.

par Jacob R

28 juin 2020

Pretty solid course, kind of difficult to grasp at times to a newcomer.

par Roberto C

13 juin 2021

No aterriza es algo práctico que pueda utilizar para el análisis

par Enzo

6 mai 2021

It was pretty hard to understand concepts at the end


7 juil. 2020

No coding based assignments. Not too useful.

par Chaitanya G

28 avr. 2020

The videos could have been more explanatory.

par Fernando D

2 avr. 2020

Es un curso para interesados en trading

par sachin t j

16 nov. 2020

Python codes are not really explained.


27 juil. 2020

its a good learning experience for me

par dhruvi

26 sept. 2020

the content is amazing but outdated

par DAWN M 1

13 avr. 2020

It was a bit hard to follow

par MOHD H

5 déc. 2020


par Volodymyr M

19 mai 2020

I really cannot recommend this course. Course tries to touch two major topics: Financial Risk Management and Statistics. In both disciplines course is only scratching surface of the subject without going into any details. Just for quantitive estimation, FRM is 100+ hours of material, Statistics - another 200+ hours. Whole course contains definitely less than 4 hours of lectures.

On the other hand - course is some sort of source of topics you need to find yourself over Internet and learn yourself.

par Warren V

1 avr. 2021

In evaluating this course, it took me a while to identify the target audience from the course materials. The statistical content is too fast-paced and lacking detail for newcomers, and that the Python content is de-emphasised. I suppose that this course is a good introduction for those outside finance seeking an introduction. Looking at this course as exercises to improve my Pandas knowledge, I left disappointed because there was no course Python assignment in implementing a trading strategy.

par Colin

1 févr. 2021

I have a PhD in econometrics - took this course to see if it would be useful to some of my team - gleans over complex issues way to fast but given the length that is understandable - my issues with this course are (a) the Jupiter notebooks are complete already so don't make students think and (b) there should be a great deal of included warnings with references for students to dig deeper outside of the class

par Daniel

3 juil. 2020

Part of the code doesn't work. To fix it it is needed to go to Python documentation and do research

A lot of statistics concept are not quite well explained. The course should include more detailed explanations or at lease some links where the this information can be studied

The results of the trading system implemented in the curse are not the one that you will obtain