£115.33

Springer Data Science and Social Research Academic Book

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Description

Explore the intersection of modern technology and social inquiry with Data Science and Social Research by Springer. This academic text provides a comprehensive look at how data science methods and techniques can be integrated into social science research. It serves as a vital resource for understanding the evolution of research methodologies in a digital age. Readers will find extensive examples of how new big data is utilized within the social sciences, offering practical context for theoretical concepts. The book also examines the epistemological consequences that new data types bring to the field, helping researchers navigate changes in how knowledge is produced and validated. Designed for students and professionals in anthropology, sociology, and data analysis, this work includes a dedicated section on online data analysis. Whether you are studying classification, knowledge organization, or advanced data analysis, this book provides the necessary framework to understand the shifting landscape of social research through the lens of data science.

Key Features

Integrates data science methods and techniques directly into social science research frameworks.

Provides extensive real-world examples regarding the use of new big data in social science contexts.

Examines the epistemological consequences and shifts caused by new data on social science disciplines.

Includes a specialized section dedicated to the study of online data analysis.

Covers essential topics in classification, data analysis, and knowledge organization for researchers.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
18 November 2017
Listed Since
09 February 2017

Barcode

No barcode data available

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