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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
4,378 ratings

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

RH

Jan 5, 2024

It is an excellent course to apply statistic, probability and python methods in financial modelling. I would like that each section had resources to study statistics concepts related to the videos.

GR

Mar 29, 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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551 - 575 of 1,003 Reviews for Python and Statistics for Financial Analysis

By Joydeep p

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May 8, 2020

Very good

By Leonardo S M S

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Sep 20, 2020

Perfect!

By princy x

•

May 25, 2020

NICE ONE

By Сабитова А

•

Oct 22, 2024

👍супер

By Дмитрий К

•

Jun 3, 2024

Cool!!!

By Ogabek F

•

Jan 16, 2024

i liked

By MESTOUR A

•

Jun 10, 2023

Thanks,

By Saktya A

•

Aug 19, 2022

Thanks

By Przemek L

•

Jan 5, 2025

Super.

By Комаревич А П

•

May 1, 2022

Super!

By Aaron A B P

•

Aug 16, 2021

Thanks

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 Manopradeep

•

Jul 26, 2024

great

By Melisa A

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Dec 29, 2021

great

By Swagata R

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Aug 11, 2021

good.

By Abhishek k G

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Jul 24, 2020

great

By Wang J

•

Oct 9, 2019

great

By SYEDFARAN A

•

Jan 30, 2025

best

By Rushi K

•

Sep 5, 2024

good

By MATHAN T

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Jul 26, 2024

good

By Sayak G

•

Mar 17, 2023

good

By kendrick B

•

Dec 5, 2022

Easy

By mohamed a

•

Aug 26, 2022

Good