Python for Finance: Risk and Return

There are two options

Download all Notebooks and follow the course from the course page (with embedded videos and code).
Open the Notebooks directly using links to Colab

You need Anaconda (with Jupyter Notebook and Python) installed (instructions on course page)
Go to Course page

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
01 - Intro to NumPy.ipynb		01 - Intro to NumPy.ipynb
02 - Volatitlity.ipynb		02 - Volatitlity.ipynb
03 - Sharpe Ratio.ipynb		03 - Sharpe Ratio.ipynb
04 - Monte Carlo Simulation and Efficient Frontier.ipynb		04 - Monte Carlo Simulation and Efficient Frontier.ipynb
05 - Correlation.ipynb		05 - Correlation.ipynb
06 - Linear Regression.ipynb		06 - Linear Regression.ipynb
07 - Beta.ipynb		07 - Beta.ipynb
08 - CAPM.ipynb		08 - CAPM.ipynb
README.md		README.md

Provide feedback