Real-World Economics with Python and Data Science

Economic theory becomes incredibly powerful when you can test it against actual data. This text-based course bridges the gap between economic concepts and practical data analysis using Python. You will transition from understanding basic economic definitions to writing Python scripts that analyze real-world datasets, giving you a hands-on grasp of how modern economists study global challenges. What you'll learn: [1] Understand foundational economic concepts, including market structures, supply and demand, and basic game theory. [2] Analyze economic inequality and development metrics using modern Python data libraries. [3] Practice econometric modeling and regressions to find relationships in real-world data. [4] Evaluate environmental policy and resource allocation using quantitative economic models. [5] Explore financial economics and portfolio optimization concepts through structured code examples. [6] Write clean, readable Python code to manipulate, clean, and analyze economic datasets. You will start with core economic terminology and basic Python setups before moving step-by-step through real-world case studies in finance, development, and environmental economics. Designed for absolute beginners in both economics and programming, this course requires no prior background in data science. Start reading today to build a practical, data-driven foundation in modern economics.