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Learner Reviews & Feedback for Python and Statistics for Financial Analysis by The Hong Kong University of Science and Technology
4,605 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
YK
Feb 15, 2021
A bit difficult for people non-trading majority and Python (basic programmig knowledge). It is expected to explain more about Python functionalities and opportunities in Data Analysis.
PL
Apr 7, 2021
An excellent beginner's guide to financial statistics using Python's Pandas module. Can be completed very quickly by those familiar with both basic Python and introductory Statistics.
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By Amal C
•Mar 8, 2025
not good