Big data and social science: data science methods and tools for research and practice
Material type:
TextPublication details: Boco Raton CRC Press 2021 Edition: 2ndDescription: xx, 391 pISBN: 9780367568597Subject(s): Social sciences--Data processing | Big data | Data mining | Social sciences--Statistical methodsDDC classification: 300.2856312 Summary: Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Book
|
Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 300.2856312 FOS (Browse shelf(Opens below)) | 1 | Available | 004206 |
Table of Contents
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
Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations.
There are no comments on this title.