Big Data and Social Science: A Practical Guide to Methods and Tools (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
暫譯: 大數據與社會科學：方法與工具的實用指南 (Chapman & Hall/CRC 社會與行為科學統計系列)
Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia
- 出版商: CRC
- 出版日期: 2016-08-08
- 售價: $1,980
- 貴賓價: 9.5 折 $1,881
- 語言: 英文
- 頁數: 376
- 裝訂: Hardcover
- ISBN: 1498751407
- ISBN-13: 9781498751407
-
相關分類:
大數據 Big-data
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商品描述
Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems.
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.
For more information, including sample chapters and news, please visit the author's website.
商品描述(中文翻譯)
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