Introduction to Economic Analysis and AI Tools

Feeling overwhelmed by complex market data or resource allocation problems? Modern economic analysis requires understanding both core theories and the technologies used to process information. This course provides a foundational understanding of micro and macroeconomic principles and introduces you to the conceptual role of information technology and artificial intelligence in modern decision-making. You will learn to frame business problems using economic models and identify opportunities for technology integration. What you'll learn: * Understand the fundamental concepts of production, distribution, exchange, and consumption under scarcity. * Analyze supply and demand dynamics and interpret basic market equilibrium models. * Apply core microeconomic principles to optimize resource allocation and pricing strategies. * Practice using basic prompt engineering techniques to interpret economic data and generate scenario analyses using AI concepts. * Learn foundational data concepts, including identifying correlation versus causation in economic indicators. * Configure basic frameworks for integrating IT tools into economic forecasting and reporting workflows. The course begins by establishing core economic terminology and models, then progresses to practical application, showing how information technology enables faster analysis and better decision quality. You will work through practical exercises focused on real-world business scenarios. This course is designed for absolute beginners interested in economics, business analysis, or technology integration, with no prior experience required. Start building your foundation for data-driven economic insight today.