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Learner Reviews & Feedback for Python and Statistics for Financial Analysis by The Hong Kong University of Science and Technology

4.4
stars
2,325 ratings
•
521 reviews

About the Course

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....

Top reviews

LH
Mar 23, 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
Mar 25, 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 of 516 Reviews for Python and Statistics for Financial Analysis

By Bhavya S

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Jan 27, 2020

whatta wow :D

By 裴品傑

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Jun 5, 2019

很不錯，但最後的回歸有點難

By Tsoi K M E

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Jun 14, 2020

Great course

By Heiner A M V

•
Apr 29, 2020

Very usseful

By Henrique G

•
Sep 24, 2019

It's great!

By Ruikun D

•
Jan 29, 2019

very

useful

By Nadiia B

•
Jan 13, 2021

Thank you!

By jayashree b

•
Oct 21, 2020

its useful

By BENJAMÍN J B

•
Aug 30, 2020

Excelente!

By CHIRAG

•
Oct 27, 2020

THANK YOU

By SOUMEN S

•
Aug 7, 2020

THANK YOU

By MAKADIYA K

•
Jul 22, 2020

Thank You

By Izaz A k

•
Jul 19, 2020

Thank You

By Md K I

•
Jul 4, 2020

Awesome!!

By Joydeep p

•
May 8, 2020

Very good

By Leonardo S M S

•
Sep 19, 2020

Perfect!

By PRINCY X

•
May 24, 2020

NICE ONE

By sw l

•
Aug 25, 2020

good !

By Kunal B D

•
Jul 16, 2020

v.good

By Kleber L d S

•
Jun 20, 2020

Ótimo.

By Abhishek k g

•
Jul 24, 2020

great

By 王军乔

•
Oct 9, 2019

great

By Zhu, T

•
Jun 6, 2020

good

By Xiaobing C

•
Dec 22, 2019

good

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