{"product_id":"big-data-and-social-science-hardback","title":"Big Data and Social Science - Hardback","description":"\u003cp\u003e\u003cb\u003e\u003ci\u003eBig Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition\u003c\/i\u003e \u003c\/b\u003eshows 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFeatures:\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003eTakes an accessible, hands-on approach to handling new types of data in the social sciences\u003c\/li\u003e \u003cli\u003ePresents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes\u003c\/li\u003e \u003cli\u003eIllustrates social science and data science principles through real-world problems\u003c\/li\u003e \u003cli\u003eLinks computer science concepts to practical social science research\u003c\/li\u003e \u003cli\u003ePromotes good scientific practice\u003c\/li\u003e \u003cli\u003eProvides freely available \u003cb\u003e\u003ca href=\"https:\/\/workbooks.coleridgeinitiative.org\/\"\u003eworkbooks\u003c\/a\u003e\u003c\/b\u003e with data, code, and practical programming exercises, through Binder and GitHub\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003e\u003cb\u003eNew to the Second Edition:\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003eIncreased use of examples from different areas of social sciences\u003c\/li\u003e \u003cli\u003eNew chapter on dealing with Bias and Fairness in Machine Learning models\u003c\/li\u003e \u003cli\u003eExpanded chapters focusing on Machine Learning and Text Analysis\u003c\/li\u003e \u003cli\u003eRevamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45563869462766,"sku":"9780367341879","price":241.4,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/9780367341879.jpg?v=1720662924","url":"https:\/\/bookland.com.au\/products\/big-data-and-social-science-hardback","provider":"Book Land AU","version":"1.0","type":"link"}