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Data Scientist Lesson: Micro-To-Macro Analytics Modeling

1 September 2013
Media Article
Publisher : Forbes

18491

This Forbes article presents a "Data Scientist Lesson" focused on micro-to-macro analytics modeling. It explains how data scientists can build models that analyze individual-level data (micro) to derive insights applicable to broader trends and larger populations (macro). The article discusses the methodologies and challenges involved in aggregating granular data to identify patterns and predict outcomes at a larger scale. It emphasizes the importance of understanding both individual behaviors and systemic impacts for comprehensive data analysis and strategic decision-making.

Author(s) :

Bill Schmarzo

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Key topics

Data Science for social impact

Also found in

Systems Thinking and Complex Problem Design

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