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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
4,573 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.

AA

Jul 18, 2020

This course explained the Python code in great details and the forum for support was great. I would like if there were more materials to read to understanding the statistics that were used.

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551 - 575 of 1,044 Reviews for Python and Statistics for Financial Analysis

By Yifei L

•

Nov 14, 2021

Nice course

By Henrique G

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Sep 24, 2019

It's great!

By Ruikun D

•

Jan 29, 2019

very

useful

By Sai C

•

Feb 19, 2023

eexcellent

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 Aksita

•

Sep 24, 2025

amazing!!

By Franky W

•

Aug 31, 2025

very good

By Omoejire

•

Jun 5, 2024

Excellent

By Deleted A

•

Mar 15, 2024

good lock

By Makoaela R

•

Jan 11, 2024

Excellent

By AYUSH C

•

Jul 28, 2023

Thank you

By Pasan A

•

Nov 7, 2021

Fantastic

By Sayan M

•

Aug 23, 2021

VERY GOOD

By UTTAM K

•

Jul 13, 2021

Thank you

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 Aysu T

•

Apr 1, 2025

👍🏻👍🏻

By Leonardo S M S

•

Sep 19, 2020

Perfect!