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Opiniones y comentarios de aprendices correspondientes a Python and Statistics for Financial Analysis por parte de Universidad Científica y Tecnológica de Hong Kong

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Course Overview: https://youtu.be/JgFV5qzAYno 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....

Principales reseñas

LH
23 de mar. de 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.

GZ
25 de mar. de 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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251 - 275 de 518 revisiones para Python and Statistics for Financial Analysis

por ARAVINDH D

26 de may. de 2020

Thank you sir

por Bhavya S

27 de ene. de 2020

whatta wow :D

por 裴品傑

5 de jun. de 2019

很不錯,但最後的回歸有點難

por Tsoi K M E

14 de jun. de 2020

Great course

por Heiner A M V

29 de abr. de 2020

Very usseful

por Henrique G

24 de sep. de 2019

It's great!

por Ruikun D

29 de ene. de 2019

very

useful

por Nadiia B

13 de ene. de 2021

Thank you!

por jayashree b

21 de oct. de 2020

its useful

por BENJAMÍN J B

30 de ago. de 2020

Excelente!

por CHIRAG

27 de oct. de 2020

THANK YOU

por SOUMEN S

7 de ago. de 2020

THANK YOU

por MAKADIYA K

22 de jul. de 2020

Thank You

por Izaz A k

19 de jul. de 2020

Thank You

por Md K I

4 de jul. de 2020

Awesome!!

por Joydeep p

8 de may. de 2020

Very good

por Leonardo S M S

19 de sep. de 2020

Perfect!

por PRINCY X

24 de may. de 2020

NICE ONE

por sw l

25 de ago. de 2020

good !

por Kunal B D

16 de jul. de 2020

v.good

por Kleber L d S

20 de jun. de 2020

Ótimo.

por Abhishek k g

24 de jul. de 2020

great

por 王军乔

9 de oct. de 2019

great

por SUKHEN D

27 de feb. de 2021

good