DATA 88EX: Economic Models with Python

Preparation for careers at the intersection of Data Science and Economics, equipping students with skills sought after in roles such as economists, business analysts, market researchers, and investment analysts. ,Proficiency in applying Python programming to economics, enabling students to solve simple equations and construct graphs used in microeconomics. ,Understanding of fundamental economic concepts, including demand, supply, production, utility, inequality, and development. ,Practical experience in econometrics from a data science perspective, illustrating how coding can be used to analyze economic data. ,Application of economic principles to real-world scenarios, such as environmental economics, game theory, and financial analysis.