Chevron Left
Back to Python and Statistics for Financial Analysis

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

SB

Aug 3, 2019

Course content, pacing and assignments were excellent. However, it is hard to get all the statistical concepts without prior background. Providing reading materials in the relevant topics would help

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.

Filter by:

576 - 600 of 1,044 Reviews for Python and Statistics for Financial Analysis

By princy x

•

May 24, 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 15, 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

•

Dec 29, 2021

great

By Swagata R

•

Aug 11, 2021

good.

By Abhishek k G

•

Jul 24, 2020

great

By Wang J

•

Oct 9, 2019

great

By MARIA J B G

•

Jun 14, 2025

GOOD

By MD A

•

Jun 14, 2025

Nice

By SYEDFARAN A

•

Jan 30, 2025

best

By Rushi K

•

Sep 5, 2024

good

By MATHAN T

•

Jul 26, 2024

good

By Sayak G

•

Mar 17, 2023

good

By kendrick B

•

Dec 4, 2022

Easy

By mohamed a

•

Aug 26, 2022

Good