Public Data Analysis: Working with Open Data in Python

Public data is everywhere—from government portals to global health databases—but knowing how to extract, clean, and analyze it is a rare and valuable skill. This text-based course guides you from absolute beginner to confidently working with public datasets, teaching you how to turn raw open data into actionable insights. What you'll learn: - Learn the core concepts of public data, licensing, and open-data formats like CSV, JSON, and XML. - Master Python data libraries such as pandas to clean, filter, and aggregate complex datasets. - Practice querying public APIs to fetch real-time government and environmental data. - Understand how to handle missing data, inconsistent formatting, and messy public records. - Apply modern data visualization principles to present your findings clearly and ethically. - Explore modern environment setup using virtual environments to keep your analysis projects organized. You will start with the fundamental terminology of data science and open data, progress to hands-on data manipulation, and finish by analyzing a complete public dataset from scratch. This course is designed for absolute beginners, aspiring data analysts, and researchers with no prior coding or data science experience. Start reading today to unlock the stories hidden within public data.