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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

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3,603 classificações

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.!

GR

28 de mar de 2022

Very useful introductury course into both python and statistic analysis wich allows you to create a simple trading strategy. It serves as a great first step but there is a long way to go still.

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426 — 450 de 803 Avaliações para o Python and Statistics for Financial Analysis

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 Saktya A

19 de ago de 2022

Thanks

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

por Swagata R

11 de ago de 2021

good.

por Abhishek k G

24 de jul de 2020

great

por Wang J

9 de out de 2019

great

por Kendrick B

4 de dez de 2022

Easy

por mohamed a

26 de ago de 2022

Good

por Tin C L

5 de jun de 2022

good

por SHIBAM C

4 de mai de 2022

GOOD

por Md Z

2 de set de 2021

good

por Siying C

27 de ago de 2021

nice

por 刘一洋

22 de ago de 2021

good

por Amlan B

24 de jun de 2021

Good

por Sankhadip J

5 de jun de 2021

Good

por SUKHEN D

27 de fev de 2021

good