Economic Analysis with Python and Data Science Fundamentals

Understanding how modern economies function is more powerful when you can analyze the data yourself. This text-based course bridges the gap between theoretical economics and practical data science, showing you how to investigate economic trends using computer programming. You will transition from a beginner to a confident analyst capable of using Python to model economic behavior, interpret market data, and draw evidence-based conclusions. What you'll learn: - Understand core economic principles including supply, demand, market equilibrium, and elasticity. - Apply Python programming basics to clean, manipulate, and analyze economic datasets. - Analyze consumer behavior and production costs using modern dataframe libraries like pandas. - Interpret macroeconomic indicators such as GDP, inflation, and unemployment through data-driven models. - Practice writing clean, modern Python code with type hints to build reproducible economic analyses. The course begins with foundational economic definitions and introductory Python syntax, gradually moving into data manipulation and real-world economic case studies. You will read clear explanations, study structured code snippets, and complete written exercises to reinforce your learning. This course is designed for absolute beginners in both economics and programming; no prior background in data science or coding is required. Start your journey into data-driven economic analysis today.