Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Economics for Data Scientists

Economics for Data Scientists

Mazher, Muhammad Ahmad

Paperback

Business General

ISBN10: 6136436914
ISBN13: 9786136436913
Publisher: LAP Lambert Academic Publishing
Published: Oct 9 2025
Pages: 184
Weight: 0.56
Height: 0.42 Width: 6.00 Depth: 9.00
Language: English
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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