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Data Modeling Made Simple with CA ERwin Data Modeler r8 will provide the business or IT professional with a practical working knowledge;
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For undergraduate and graduate level courses that combines introductory statistics with data analysis or decision modeling. A pragmatic;
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Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python;
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Data Modeling Made Simple with ER/Studio Data Architect will provide the business or IT professional with a practical working knowledge;
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Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather;
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This third volume of the best-selling Data Model Resource Book series revolutionizes the data modeling discipline by answering the;
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Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;
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Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;
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with quantitative data. It covers: * 2-level Multilevel Models * Structural Equation Modeling (SEM;
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Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources;
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Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources;
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From the first chapter, author Carla DeAngelis skillfully explains the normally complex concepts of Data Modeling-a critical success factor;
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Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques;
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from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get;
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from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to;
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This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical;
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Data Modeling for Agile Data Warehouse using Data Vault Modeling Approach. Includes Enterprise Data Warehouse Architecture. This is a;
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Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciencesprovides a practical guide to many;
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If you: * need to create and build databases; work with data; design forms and reports * want to get the job done, quickly and;
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data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports;
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, practitioners, and applied researchers who want to learn how to properly use R IRT packages to perform IRT model calibrations with their own data. This;
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providing an overview of Monte-Carlo techniques, the second focusing on missing data Monte-Carlo methods, and the third addressing Bayesian and;
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to the statistically savvy user. Packed with relevant case studies, this book is for any data analyst wishing to apply Bayesian methods to;
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the statistically savvy user. Packed with relevant case studies, this book is for any data analyst wishing to apply Bayesian methods to;
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Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an;
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