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Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has;
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accessible introduction to application-oriented multivariate methods of data analysis and procedures that are highly beneficial to solving a variety;
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methods for the analysis and visualization of scientific data. Theoretical concepts are presented in a painstaking but intuitive manner, with;
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methods for the analysis and visualization of scientific data. Theoretical concepts are presented in a painstaking but intuitive manner, with;
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is a must-read book for learning practical statistics and data analysis...Computing Reviews.com A proven go-to guide for data analysis, Making;
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comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical;
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comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical;
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"This book provides a wise and engaging how-to guide that meets the central challenge of policy analysis: combining scientific evidence and;
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A practical, skill-based introduction to data analysis and data literacy. Accompanied by a student study website.;
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in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical;
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book is to integrate standard scientific computing methods with data analysis. By doing so, it brings together, in a self-consistent fashion;
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you re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data;
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Containing numerous step-by-step examples throughout, this new edition introduces readers to how to use IBM SPSS to plan a study, prepare;
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new reference Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio;
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that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation;
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A comprehensive guide to the art and science of bioimaging data acquisition, processing and analysis Standard and Super-Resolution;
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R and Python for Oceanographers: A Practical Guide with Applications describes the uses of scientific Python packages and R;
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Practical Social Research is a working guide to doing 'real life' research in the local community. Based on the authors' own practice, it;
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Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and;
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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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A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book;
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>Provides a practical overview of core analysis, from coring at the well site to laboratory data acquisition and interpretation
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Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical;
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longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis;
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epigenetic marks, is among the most widely used methods in molecular biology. Practical Guide to ChIP-seq Data Analysis will guide readers through;
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epigenetic marks, is among the most widely used methods in molecular biology. Practical Guide to ChIP-seq Data Analysis will guide readers through;
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Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed;
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