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The Data Analysis Fundamentals Certificate (10.0 CPE Credits) provides you with the knowledge on the different job roles involved in the;
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Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete;
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Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete;
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Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University;
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Covering testing fundamentals, reviews, testing and risk, test management and test analysis, this book helps newly qualified software;
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Covering testing fundamentals, reviews, testing and risk, test management and test analysis, this book helps newly qualified software;
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data practice - data visualization. Building from underlying technology, architecture, and analysis considerations, you will learn how to;
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In this fourth edition, the authors present the fundamentals of research design and data management with five distinct methods of analysis;
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Fundamentals of Care is an accessible introductory textbook for all health care assistants; assistan;...
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; Harnessing JavaScript data visualisation tools; Business focused application to feedback gathering, analysis and reporting; Integration of new and;
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; Harnessing JavaScript data visualisation tools; Business focused application to feedback gathering, analysis and reporting; Integration of new and;
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include: psychophysiology, testing techniques, data collection, data analysis, ethics, polygraph law, alternate technologies and much more. This;
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on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the;
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on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the;
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Advanced imaging spectral technology and hyperspectral analysis techniques for multiple applications are the key features of the book. This;
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Advanced imaging spectral technology and hyperspectral analysis techniques for multiple applications are the key features of the book. This;
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. Numerous examples help researchers decide which instruments to use for their particular scientific problem and which data analysis methods should;
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Make Better Business & Investment DecisionsTo understand the fundamentals of ratio analysis and thus improve your;
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field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and;
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aspects related to chemometrics, bioinformatics, data treatment, data integration and systems biology, deep-sequencing data analysis, statistical;
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observation, and other data collection methods to inform emergent research design decisions. An extended chapter on qualitative data analysis is one;
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intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built;
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This treatise develops the theory of random processes and its application to the study of systems and the analysis of random data. The text;
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types of questions, including data analysis, questions on practical work, and much more - Lots of Practice Questions in the style of the new;
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This book quickly teaches students the fundamentals of using the SAS system to manage and analyze research data. It is intended for;
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measurements, data representation and analysis, and unit conversions. Specific topics covered include systematic and random error, physical;
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