Python for Finance: Programming, Data, and AI Assistance

Module 1 – Python Foundations

3Lessons ·
- Environment setup (Anaconda, Jupyter, VS Code)
- Core syntax: variables, data types, loops, functions, OOP basics
- Working with libraries: numpy, pandas, matplotlib
Module 2 – Financial Data & Analysis

4Lessons ·
- Importing data from APIs (Alpha Vantage, Yahoo Finance, FRED)
- Time series analysis, returns, volatility, and moving averages
- Portfolio metrics: Sharpe, Sortino, Drawdown
- Regression & correlation for factor analysis
Module 3 – Prompt Engineering as a Coding Assistant

4Lessons ·
- Using ChatGPT & Copilot to generate and optimize code
- Debugging and refactoring with AI feedback
- Writing docstrings, documentation, and modular scripts via prompts
- Building mini-projects with iterative prompting
Module 4 – Applied Financial Modeling

4Lessons ·
- Valuation models (DCF, multiples)
- Backtesting trading strategies
- Monte Carlo simulation for risk modeling
- Automating dashboards and PDF reports
Capstone Project

1Lessons ·
- Build a Python investment analysis toolkit (data fetching, indicators, scoring, and reporting)