Economics

Economics in Data Science refers to the application of economic theories and principles to analyze and interpret data in order to make informed business decisions. It involves the use of statistical and mathematical models to identify patterns and trends in data, and to develop predictive models that can be used to forecast future outcomes. The goal of economics in data science is to help businesses optimize their operations, reduce costs, and increase profits by leveraging data-driven insights.
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