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quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual;
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quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual;
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possibilities of thinking with a particular concept and theorist and detailed chapters that plug the same data set into a specific concept. This vital;
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possibilities of thinking with a particular concept and theorist and detailed chapters that plug the same data set into a specific concept. This vital;
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often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You'll;
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Modes of Thinking for Qualitative Data Analysis argues for engagement with the conceptual underpinnings of five prominent analytical;
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Modes of Thinking for Qualitative Data Analysis argues for engagement with the conceptual underpinnings of five prominent analytical;
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The chapters in Thinking With Data are based on presentations given at the 33rd Carnegie Symposium on Cognition. The Symposium;
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The chapters in Thinking With Data are based on presentations given at the 33rd Carnegie Symposium on Cognition. The Symposium;
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together. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you'll arrive at a unique;
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How statistical thinking and methodology can help you make crucial business decisions Straightforward and insightful, Statistical Thinking;
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; Balancing operational results with capability development; An objective definition of data-centric thinking; and Ways to monetize these efforts.;
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? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as;
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data and to guide the subsequent implementation of robust, mathematical analyses. Volume 2 of Logic and Critical Thinking in the Biomedical;
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Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with;
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Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with;
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thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world;
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data to theory and theory to data. It helps students develop their thinking and argumentation skills rather than merely introducing them to one;
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data to theory and theory to data. * Helps students develop their thinking and argumentation skills rather than merely introducing them to one;
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Contrary to popular myth, we do not yet live in the Information Age. At best, we live the Data Age, obsessed with the production;
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Written for students with basic experience in college algebra and applied calculus, Fundamentals of Statistical Thinking: Tools and;
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This book focuses on the changes which big data brings to human's society and personal thinking models. The author uses the concept;
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Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work. But don't let that;
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same problem. "Data Structure and Algorithmic Thinking with Python" is designed to give a jump-start to programmers, job hunters and those who;
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Critical thinking: a concise guide is a much-needed guide to argument analysis and a clear introduction to thinking clearly and rationally;
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With today's information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these;
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With the advancement of technology in the modern world, the constant influx of data, information, and computing can become droning and one;
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