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Learn the basic concepts of economics through Data Science applications and Python programming. This course covers applications in production theory, utility maximization, randomized controlled trials, and income inequality. Second course of a three course series.
After a course session ends, it will be archived.
This second course in the Data Science and Economics series is based on a Connector Course taught at UC Berkeley as a Connector between the field of Economics and the popular Introduction to Data Science Course.
In this course we cover national productivity and cross-country historical comparisons, international development, income inequality, and constrained optimization.
This course is of interest to the growing number of students interested in the overlap between Economics and Data Science. The course has some more advanced programming challenges, including the cobb-douglas formulation for production and consumption.
Each of the applications follows a unique applied dataset to illustrate the concepts that are learned in intermediate economics courses. Concepts of utility and production functions are modeled within python mathematical formulations.
Data 88.1EX: Fundamentals of Economics
Part 1 - Production and Cobb -Douglas
Part 2 - Utility Maximization
Part 3 - Inequality
Part 4 - International Development