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Big Data and Social Science - Data Science Methods and Tools for Research and Practice (Paperback, 2nd edition)
Loot Price: R1,653
Discovery Miles 16 530
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Big Data and Social Science - Data Science Methods and Tools for Research and Practice (Paperback, 2nd edition)
Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Expected to ship within 12 - 17 working days
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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. Features: Takes an accessible, hands-on
approach to handling new types of data in the social sciences
Presents 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 Illustrates social science and data science
principles through real-world problems Links computer science
concepts to practical social science research Promotes good
scientific practice Provides freely available workbooks with data,
code, and practical programming exercises, through Binder and
GitHub New to the Second Edition: Increased use of examples from
different areas of social sciences New chapter on dealing with Bias
and Fairness in Machine Learning models Expanded chapters focusing
on Machine Learning and Text Analysis Revamped hands-on Jupyter
notebooks to reinforce concepts covered in each chapter 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.
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