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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

2,814 évaluations
622 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.

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301 - 325 sur 632 Avis pour Python and Statistics for Financial Analysis

par Santiago L C

30 janv. 2019

I enjoy very much

par Eyal g

2 sept. 2021

Very good course

par Jonathan M

28 juin 2020

very informative

par almir h

9 août 2021

Very Impressive

par Emanuel A Q d V

23 août 2020

excelente curso

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 !

par Aravindh D

26 mai 2020

Thank you sir

par Bhavya S

27 janv. 2020

whatta wow :D

par 裴品傑

5 juin 2019


par eiresoft I

8 juin 2021

Great course

par Tsoi K M E

14 juin 2020

Great course

par Heiner A M V

29 avr. 2020

Very usseful

par Henrique G

24 sept. 2019

It's great!

par Ruikun D

29 janv. 2019



par Nadiia B

13 janv. 2021

Thank you!

par jayashree b

21 oct. 2020

its useful


30 août 2020


par Sayan M

23 août 2021



13 juil. 2021

Thank you


27 oct. 2020