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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
4,595 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

DB

Apr 30, 2020

I learned a lot about different charts and approaches to their evaluation. And at the same time I remembered the course of probability theory. It's not very simple, but you should try.

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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By Aysu T

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Apr 1, 2025

👍🏻👍🏻

By Leonardo S M S

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Sep 19, 2020

Perfect!

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,

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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

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Dec 29, 2021

great

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Aug 11, 2021

good.

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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