Phyton for Finance: Investment Fundamentals & Data Analytics

• Introduction to Python for Finance

• Basic Python Programming Concepts: Data Types, Variables, Operators, etc.

• Working with Data Structures in Python: Lists, Dictionaries, and Tuples

• Reading and Writing Data Files: CSV, Excel, and JSON

• Data Analysis and Visualization in Python: Pandas and Matplotlib

• Financial Calculations and Modeling: NumPy and SciPy

• Time Series Analysis and Forecasting in Python: Statsmodels

• Portfolio Optimization and Risk Management: PyPortfolioOpt and cvxpy

• Algorithmic Trading and Backtesting Strategies: PyAlgoTrade and backtrader

• Machine Learning for Finance: Scikit-learn and TensorFlow