CFA_I

This is a project for preparing for CFA I. The goal of this project is to apply Python in carrying out financial analysis techniques.

Install

pip install pandas numpy matplotlib seaborn statsmodels scikit-learn beautifulsoup4

Dataset

The dataset in this project are from multiple sources, for simple examples, the data is normally excerpted from CFA readings, for others, data is obtained via web scrapping or online resources.

Name		Name	Last commit message	Last commit date
Latest commit History 95 Commits
.gitignore		.gitignore
Alternative_Investments.ipynb		Alternative_Investments.ipynb
Corporate_Finance_I.ipynb		Corporate_Finance_I.ipynb
Corporate_Finance_II.ipynb		Corporate_Finance_II.ipynb
Derivatives.ipynb		Derivatives.ipynb
Economics_I.ipynb		Economics_I.ipynb
Economics_II.ipynb		Economics_II.ipynb
Equity_Investments_I.ipynb		Equity_Investments_I.ipynb
Equity_Investments_II.ipynb		Equity_Investments_II.ipynb
Ethical_and_Professional_Standards.ipynb		Ethical_and_Professional_Standards.ipynb
Financial_Reporting_and_Analysis_I.ipynb		Financial_Reporting_and_Analysis_I.ipynb
Financial_Reporting_and_Analysis_II.ipynb		Financial_Reporting_and_Analysis_II.ipynb
Financial_Reporting_and_Analysis_III.ipynb		Financial_Reporting_and_Analysis_III.ipynb
Financial_Reporting_and_Analysis_IV.ipynb		Financial_Reporting_and_Analysis_IV.ipynb
Fixed_Income_I.ipynb		Fixed_Income_I.ipynb
Fixed_Income_II.ipynb		Fixed_Income_II.ipynb
Portfolio_Management_I.ipynb		Portfolio_Management_I.ipynb
Portfolio_Management_II.ipynb		Portfolio_Management_II.ipynb
QuantitativeMethods_I.ipynb		QuantitativeMethods_I.ipynb
QuantitativeMethods_II.ipynb		QuantitativeMethods_II.ipynb
README.md		README.md

EvelynLinn/CFA-I

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