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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
4,386 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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1001 - 1006 of 1,006 Reviews for Python and Statistics for Financial Analysis

By Ohad s

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Oct 2, 2020

the instructor is not understandable and don't really explain the material

By Chavassieux

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Sep 17, 2021

A lot of formulas but it miss some example too generalist sometimes

By Boyan D

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Nov 5, 2020

I regret starting this course. You should unlist it from coursera.

By tanish s

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Apr 27, 2020

very bad course. dont take it . no indepth knowledge.

By Pratham G

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Jul 4, 2024

Pathetic course content, no explanation of concepts

By Gregory V W

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Sep 30, 2024

Poorly organized and presented. Waste of time.