Analyzing US Hurricane Data with Python

Weather and climate data can feel overwhelming to navigate, yet analyzing historical storm patterns is key to understanding environmental trends. This text-based course guides you through parsing and examining official hurricane records using modern data analysis tools. You will learn how to transform raw datasets into clear, structured insights about storm categories, wind speeds, and atmospheric pressure. By reading through structured explanations and writing your own code, you will master the foundational workflows of a data analyst. You will learn to: Understand fundamental meteorological data structures and key storm metrics; Clean and format historical datasets using modern pandas techniques; Analyze storm intensity trends using wind speed and barometric pressure data; Group and categorize storm records to identify long-term patterns; Generate clear histogram distributions and data plots directly in your notebook; Apply modern Python type hinting to write robust, maintainable analysis code. This course begins with core definitions and step-by-step setup, transitioning into hands-on data cleaning and plotting techniques. It is designed specifically for beginners with basic Python knowledge who want to build practical data analysis skills. Start exploring historical climate data today.