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portada Economics for Data Scientists
Type
Physical Book
Publisher
Author
Language
English
Pages
184
Format
Paperback
Dimensions
22.9x15.2x1.1 cm
ISBN13
9786136436913

Economics for Data Scientists

Mazher, Muhammad Ahmad (Author) · LAP Lambert Academic Publishing · Paperback

Economics for Data Scientists - Mazher, Muhammad Ahmad

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Synopsis "Economics for Data Scientists"

The book, Economics for Data Scientists: Theory, Tools, and Applications, serves as a comprehensive bridge between the rigor of economic theory and the power of data science tools. It is structured to help practitioners move beyond simple data prediction (a strength of machine learning) to genuine causal inference, understanding the "why" behind economic phenomena. The content establishes foundational economic concepts, such as Supply and Demand and Utility Theory, then transitions to applied techniques, covering everything from fundamental Regression Analysis (OLS) and handling complex Time Series data to advanced econometric methods for establishing Causality and addressing Endogeneity. Ultimately, the book equips the reader with a versatile toolkit to apply these blended concepts across real-world domains, including predicting Consumer Demand, optimizing Firm Behavior via supply chain analysis, and forecasting major Macroeconomic indicators, all while maintaining a focus on ethical data practices and the interpretive context of economic decision-making.

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