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2nd NATIONAL WORKSHOP ON STATISTICAL APPLICATION AND INTERPRETATION IN SOCIAL SCIENCE RESEARCH MAY 2427, 2019 Organized by Department of Management, IPS College of Technology & Management, GwaliorRegistration
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Data science meets social refers to the intersection of data analysis techniques and social phenomena, utilizing data science tools to analyze social behavior, trends, and patterns.
Individuals or organizations that engage in social data analysis, or those required by regulations to report social data findings may be required to file data science meets social.
To fill out data science meets social, you typically need to gather relevant social data, analyze it, and report the findings in the specified format as required by the governing body.
The purpose of data science meets social is to leverage data analytics to understand social dynamics, inform policy decisions, and drive interventions that improve societal outcomes.
Typically, the information that must be reported includes data sources, methodologies used, findings, implications, and any recommendations based on the analysis.
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