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Learner Reviews & Feedback for Python and Statistics for Financial Analysis by The Hong Kong University of Science and Technology
4,287 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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976 - 979 of 979 Reviews for Python and Statistics for Financial Analysis
By Boyan D
•Nov 5, 2020
I regret starting this course. You should unlist it from coursera.
By tanish s
•Apr 27, 2020
very bad course. dont take it . no indepth knowledge.
By Pratham G
•Jul 4, 2024
Pathetic course content, no explanation of concepts
By Gregory V W
•Sep 30, 2024
Poorly organized and presented. Waste of time.