Big data and social science : a practical guide to methods and tools

Resource Information

The work Big data and social science : a practical guide to methods and tools represents a distinct intellectual or artistic creation found in European University Institute. This resource is a combination of several types including: Work, Language Material, Books.

Label

Big data and social science : a practical guide to methods and tools

Title remainder

a practical guide to methods and tools

Statement of responsibility

edited by Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane

Contributor

• Foster, Ian, 1959-

Editor

• Foster, Ian, 1959-

Subject

• Social sciences -- Statistical methods
• Data mining
• Social sciences -- Data processing
• Big data

Language

eng

Summary

Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. --

Member of

• Statistics in the social and behavioral sciences series

Assigning source

Provided by Publisher

Cataloging source

DLC

Illustrations

illustrations

Index

index present

Literary form

non fiction

Nature of contents

bibliography

Series statement

Chapman & Hall/CRC statistics in the social and behavioral sciences series