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.
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.
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