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Published by Cambridge University Press, 2020
ISBN 10: 1108816851 ISBN 13: 9781108816854
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Published by Cambridge University Press 8/13/2020, 2020
ISBN 10: 1108816851 ISBN 13: 9781108816854
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Paperback or Softback. Condition: New. Images as Data for Social Science Research: An Introduction to Convolutional Neural Nets for Image Classification. Book.
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Published by Princeton University Press, 2022
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Published by Cambridge University Press, 2020
ISBN 10: 1108816851 ISBN 13: 9781108816854
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Published by Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Published by Cambridge University Press, 2020
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Published by Cambridge University Press 2020-08-13, 2020
ISBN 10: 1108816851 ISBN 13: 9781108816854
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Published by Cambridge University Press, 2020
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ISBN 10: 1108816851 ISBN 13: 9781108816854
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Published by Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Published by Cambridge University Press, 2020
ISBN 10: 1108816851 ISBN 13: 9781108816854
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Published by Cambridge University Press, 2020
ISBN 10: 1108816851 ISBN 13: 9781108816854
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Published by Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Published by Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Published by Princeton University Press, 2022
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Published by Princeton University Press, US, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Paperback. Condition: New. A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior.Emphasizes hands-on learning, not paper-and-pencil statisticsIncludes data sets from actual research for students to test their skills onCovers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical toolsFeatures a wealth of supplementary exercises, including additional data analysis exercises and programming exercisesOffers a solid foundation for further studyComes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides.
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Published by Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Published by Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Published by Princeton University Press, 2022
ISBN 10: 0691222274 ISBN 13: 9780691222271
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Published by Princeton University Press, US, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Paperback. Condition: New. A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior.Emphasizes hands-on learning, not paper-and-pencil statisticsIncludes data sets from actual research for students to test their skills onCovers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical toolsFeatures a wealth of supplementary exercises, including additional data analysis exercises and programming exercisesOffers a solid foundation for further studyComes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides.
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Published by Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Published by Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Published by Princeton University Press, 2022
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Published by Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Published by Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Published by Princeton University Press, 2022
ISBN 10: 0691222282 ISBN 13: 9780691222288
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Condition: New. Über den AutorKosuke Imai is Professor of Government and of Statistics at Harvard University. Nora Webb Williams is Assistant Professor of Political Science at the University of Illinois, Urbana-Champaign.