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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
4,291 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 4, 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 28, 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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526 - 550 of 979 Reviews for Python and Statistics for Financial Analysis

By AYUSH C

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Jul 28, 2023

Thank you

By Pasan A

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Nov 7, 2021

Fantastic

By Sayan M

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Aug 23, 2021

VERY GOOD

By UTTAM K

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Jul 13, 2021

Thank you

By CHIRAG

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Oct 27, 2020

THANK YOU

By SOUMEN S

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Aug 7, 2020

THANK YOU

By MAKADIYA K

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Jul 22, 2020

Thank You

By Izaz A K

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Jul 19, 2020

Thank You

By Md K I

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Jul 4, 2020

Awesome!!

By Joydeep p

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May 8, 2020

Very good

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

•

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 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.