Financial Data Analysis With Python

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 4 Commits
01 - Introduction to Pandas.ipynb		01 - Introduction to Pandas.ipynb
02 - Series.ipynb		02 - Series.ipynb
03 - Work with DataFrames.ipynb		03 - Work with DataFrames.ipynb
04 - Visualize DataFrames - Matplotlib.ipynb		04 - Visualize DataFrames - Matplotlib.ipynb
05 - Pandas Datareader.ipynb		05 - Pandas Datareader.ipynb
06 - Simple Calculations - Volatility, SMA, and EMA.ipynb		06 - Simple Calculations - Volatility, SMA, and EMA.ipynb
07 - MACD and Stochastic.ipynb		07 - MACD and Stochastic.ipynb
08 - Export to Excel.ipynb		08 - Export to Excel.ipynb
AAPL.csv		AAPL.csv
README.md		README.md
technical.xlsx		technical.xlsx

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