Python and Statistics for Financial Analysis is a course offered by The Honk Kong University of Sciences and Technologies through the coursera platform.
The goal of the course is to teach how to use Python for:
- 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 into financial contexts;
- Build a trading model using multiple linear regression model;
- Evaluate the performance of the trading model using different investment indicators.
This repository contains the Jupyter notebooks with the assignments, exercises, and codes written during the specialization.
Course link - Python and Statistics for Financial Analysis
Instructor - Xuhu Wan
- Week 01 - Visualizing and Munging Stock Data
- Week 02 - Random Variables and Distribution
- Week 03 - Sampling and Inference
- Week 04 - Linear Regression Models for Financial Analysis
