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Voltar para Python and Statistics for Financial Analysis

Comentários e feedback de alunos de Python and Statistics for Financial Analysis da instituição Universidade de Ciência e Tecnologia de Hong Kong

4.4
estrelas
3,100 classificações
686 avaliações

Sobre o curso

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....

Melhores avaliações

EJ

3 de ago de 2019

Great course! Very didatic explanations about financial and statistical concepts also with some interesting practical Python for Finance! Looking forward for new courses from same Univ. and prof.!

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.

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351 — 375 de 702 Avaliações para o Python and Statistics for Financial Analysis

por Heiner A M V

29 de abr de 2020

Very usseful

por Yifei L

14 de nov de 2021

Nice course

por Henrique G

24 de set de 2019

It's great!

por Ruikun D

29 de jan de 2019

very

useful

por Nadiia B

13 de jan de 2021

Thank you!

por jayashree b

21 de out de 2020

its useful

por BENJAMÍN J B

30 de ago de 2020

Excelente!

por Pasan A

7 de nov de 2021

Fantastic

por Sayan M

23 de ago de 2021

VERY GOOD

por UTTAM K

13 de jul de 2021

Thank you

por CHIRAG

27 de out 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 mai de 2020

Very good

por Leonardo S M S

19 de set de 2020

Perfect!

por PRINCY X

24 de mai de 2020

NICE ONE

por Комаревич А П

1 de mai de 2022

Super!

por Aaron A B P

15 de ago de 2021

Thanks

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 Melisa A

29 de dez de 2021

great