TY  - BOOK
AU  - Foster,Ian
AU  - 
TI  - Big data and social science: data science methods and tools for research and practice 
T2  - Chapman and Hall/CRC statistics in the social and behavioural sciences
SN  - 9780367568597
U1  - 300.285 23
PY  - 2021///
CY  - Boca Raton
PB  - CRC Press, Taylor & Francis Group, 
KW  - Social sciences
KW  - Data mining
KW  - Big data
KW  - Data processing
KW  - Statistical methods
N1  - Includes bibliographical references and index; 1. Introduction
2. Working with Web Data and APIs - Cameron Neylon
3. Record Linkage - Joshua Tokle and Stefan Bender
4. Databases - Ian Foster and Pascal Heus
5. Scaling up through Parallel and Distributed Computing - Huy Vo and Claudio Silva
6. Information Visualization - M. Adil Yalcin and Catherine Plaisant
7. Machine Learning - Rayid Ghani and Malte Schierholz
8. Text Analysis - Evgeny Klochikhin and Jordan Boyd-Graber
9. Networks: The Basics - Jason Owen-Smith
10. Data Quality and Inference Errors - Paul P. Biemer
11. Bias and Fairness - Kit T. Rodolfa, Pedro Saleiro, and Rayid Ghani
12. Privacy and Confidentiality - Stefan Bender, Ron Jarmin, Frauke Kreuter, and Julia Lane
13. Workbooks - Brian Kim, Christoph Kern, Jonathan Scott Morgan, Clayton Hunter, and Avishek Kumar
N2  - "This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner"--
ER  -