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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

3,159 évaluations
700 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


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.


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.

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326 - 350 sur 717 Avis pour Python and Statistics for Financial Analysis

par Kunxiong W

6 juin 2021

g​ood for beginners

par Ankan C

17 juil. 2020

Very helpful course

par Saul S

27 avr. 2020

Good introduction..

par Graham T

22 févr. 2020

Great! Thank you :)

par Rijul V

9 oct. 2020

Excellent course!!

par Brian P

3 juin 2020

Power of knowledge


20 mai 2020


par Feiting X

27 févr. 2019

Nice Introduction!

par Harold R R S

12 mars 2022

Excellent course.

par JAMIL I . b

20 févr. 2022

Thank you so much

par Shourya B

2 sept. 2021

Quite informative

par Santiago L C

30 janv. 2019

I enjoy very much

par Nhí V P

26 mai 2022

Excellent course

par Anosha k

10 févr. 2022

very informative

par Eyal g

2 sept. 2021

Very good course

par Jonathan M

28 juin 2020

very informative

par Osama E A

31 mai 2022

Great exposure%

par almir h

9 août 2021

Very Impressive

par Emanuel A Q d V

23 août 2020

excelente curso


4 mai 2022

très satisfait

par polly b

18 juil. 2021

it was so good

par Bornita S

15 juil. 2021

amazingly good

par Artem C

23 févr. 2020

Great course !


8 juin 2022

Excellent one