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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
4,583 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

AI

May 9, 2020

This is a good course. I did not learned or gone through any of the Python module before joining this course, but the training was good. Thank you Xuhu Wan for your training.

YZ

Feb 1, 2025

This is an excellent explanation for applying Python to stock market data. As stated by the author, many terms are not explained in detail. I searched them in AI and gained an understanding.

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576 - 600 of 1,045 Reviews for Python and Statistics for Financial Analysis

By princy x

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May 24, 2020

NICE ONE

By Сабитова А

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Oct 22, 2024

👍супер

By Дмитрий К

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Jun 3, 2024

Cool!!!

By Ogabek F

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Jan 16, 2024

i liked

By MESTOUR A

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Jun 10, 2023

Thanks,

By Saktya A

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Aug 19, 2022

Thanks

By Przemek L

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Jan 5, 2025

Super.

By Комаревич А П

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May 1, 2022

Super!

By Aaron A B P

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Aug 15, 2021

Thanks

By sw l

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Aug 25, 2020

good !

By Kunal B D

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Jul 16, 2020

v.good

By Kleber L d S

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Jun 20, 2020

Ótimo.

By Manopradeep

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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

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Oct 9, 2019

great

By Ragi G

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Jan 4, 2026

good

By MARIA J B G

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Jun 14, 2025

GOOD

By MD A

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Jun 14, 2025

Nice

By SYEDFARAN A

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Jan 30, 2025

best

By Rushi K

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Sep 5, 2024

good

By MATHAN T

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Jul 26, 2024

good

By Sayak G

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Mar 17, 2023

good

By kendrick B

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Dec 4, 2022

Easy