Python for Financial Analysis: Bank and Oil Stocks in Recessions

Economic recessions impact industries differently, with banking and energy sectors often showing contrasting behaviors. Understanding how to analyze these historical trends is a vital skill for modern financial analysts and retail investors alike. This written course guides you through the foundational concepts of financial data analysis using Python, helping you extract, clean, and compare stock market data to draw meaningful insights. What you'll learn: - Understand the fundamental economic factors that drive banking and oil stocks during market downturns - Load and combine multiple financial datasets cleanly using Python - Calculate key metrics such as maximum and minimum closing prices across different periods - Structure your analysis using modern Python practices, including basic type hints for readable code - Filter and aggregate stock data to identify patterns and performance trends. You will start with key terminology and foundational concepts of financial data before moving into practical data manipulation, merging datasets, and extracting key summary statistics. This course is designed for absolute beginners with no prior programming or advanced financial experience. Begin exploring financial data analysis with Python today.