Data Models And Analysis
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Data Analysis Data Modeling And Classification
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Author : Martin E. Modell
language : en
Publisher: McGraw-Hill Companies
Release Date : 1992
Data Analysis Data Modeling And Classification written by Martin E. Modell and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
From a widely published, international expert in both the theory and practical applications of the entity-relationship approach, this reference takes the reader from data entity analysis at the enterprise level through data element analysis and physical design considerations.
Model Driven Domain Analysis And Software Development Architectures And Functions
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Author : Osis, Janis
language : en
Publisher: IGI Global
Release Date : 2010-10-31
Model Driven Domain Analysis And Software Development Architectures And Functions written by Osis, Janis and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-31 with Computers categories.
"This book displays how to effectively map and respond to the real-world challenges and purposes which software must solve, covering domains such as mechatronic, embedded and high risk systems, where failure could cost human lives"--Provided by publisher.
The Well Grounded Data Analyst
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Author : David Asboth
language : en
Publisher: Simon and Schuster
Release Date : 2025-03-25
The Well Grounded Data Analyst written by David Asboth and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Computers categories.
Complete eight data science projects that lock in important real-world skills—along with a practical process you can use to learn any new technique quickly and efficiently. Data analysts need to be problem solvers—and The Well-Grounded Data Analyst will teach you how to solve the most common problems you'll face in industry. You'll explore eight scenarios that your class or bootcamp won’t have covered, so you can accomplish what your boss is asking for. In The Well-Grounded Data Analyst you'll learn: • High-value skills to tackle specific analytical problems • Deconstructing problems for faster, practical solutions • Data modeling, PDF data extraction, and categorical data manipulation • Handling vague metrics, deciphering inherited projects, and defining customer records The Well-Grounded Data Analyst is for junior and early-career data analysts looking to supplement their foundational data skills with real-world problem solving. As you explore each project, you'll also master a proven process for quickly learning new skills developed by author and Half Stack Data Science podcast host David Asboth. You'll learn how to determine a minimum viable answer for your stakeholders, identify and obtain the data you need to deliver, and reliably present and iterate on your findings. The book can be read cover-to-cover or opened to the chapter most relevant to your current challenges. Foreword by Reuven M. Lerner. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Real world data analysis is messy. Success requires tackling challenges like unreliable data sources, ambiguous requests, and incompatible formats—often with limited guidance. This book goes beyond the clean, structured examples you see in classrooms and bootcamps, offering a step-by-step framework you can use to confidently solve any data analysis problem like a pro. About the book The Well-Grounded Data Analyst introduces you to eight scenarios that every data analyst is bound to face. You’ll practice author David Asboth’s results-oriented approach as you model data by identifying customer records, navigate poorly-defined metrics, extract data from PDFs, and much more! It also teaches you how to take over incomplete projects and create rapid prototypes with real data. Along the way, you’ll build an impressive portfolio of projects you can showcase at your next interview. What's inside • Deconstructing problems • Handling vague metrics • Data modeling • Categorical data manipulation About the reader For early-career data scientists. About the author David Asboth is a data generalist educator, and software architect. He co-hosts the Half Stack Data Science podcast. Table of Contents 1 Bridging the gap between data science training and the real world 2 Encoding geographies 3 Data modeling 4 Metrics 5 Unusual data sources 6 Categorical data 7 Categorical data: Advanced methods 8 Time series data: Data preparation 9 Time series data: Analysis 10 Rapid prototyping: Data analysis 11 Rapid prototyping: Creating the proof of concept 12 Iterating on someone else’s work: Data preparation 13 Iterating on someone else’s work: Customer segmentation A Python installation instructions
Data Models And Statistical Analysis
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Author : Ron A. Cooper
language : en
Publisher: Rowman & Littlefield Publishers
Release Date : 1983
Data Models And Statistical Analysis written by Ron A. Cooper and has been published by Rowman & Littlefield Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Mathematics categories.
This intermediate-level statistics text is directed to the analysis of nonexperimental data of the kind found in economics and business studies, sociology, geography, and the behavioral sciences. In addition to the areas usually covered in texts at this level (i.e., univariate and bivariate analysis and multiple regression), the authors have included an introduction to topics of considerable practical utility that are usually considered beyond intermediate level. These include various multivariate methods and the analysis of the multiway contingency tables. The authors have also included, in a practical setting, the use of some distributions, such as the lognormal and the negative binomial.
Data Engineering And Management
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Author : Rajkumar Kannan
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-16
Data Engineering And Management written by Rajkumar Kannan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-16 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Data Engineering and Management, ICDEM 2010, held in Tiruchirappalli, India, in July 2010. The 46 revised full papers presented together with 1 keynote paper and 2 tutorial papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Digital Library; Knowledge and Mulsemedia; Data Management and Knowledge Extraction; Natural Language Processing; Workshop on Data Mining with Graphs and Matrices.
The Profession Of Modeling And Simulation
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Author : Andreas Tolk
language : en
Publisher: John Wiley & Sons
Release Date : 2017-06-29
The Profession Of Modeling And Simulation written by Andreas Tolk and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-29 with Technology & Engineering categories.
The definite guide to the theory, knowledge, technical expertise, and ethical considerations that define the M&S profession From traffic control to disaster management, supply chain analysis to military logistics, healthcare management to new drug discovery, modeling and simulation (M&S) has become an essential tool for solving countless real-world problems. M&S professionals are now indispensable to how things get done across virtually every aspect of modern life. This makes it all the more surprising that, until now, no effort has been made to systematically codify the core theory, knowledge, and technical expertise needed to succeed as an M&S professional. This book brings together contributions from experts at the leading edge of the modeling and simulation profession, worldwide, who share their priceless insights into issues which are fundamental to professional success and career development in this critically important field. Running as a common thread throughout the book is an emphasis on several key aspects of the profession, including the essential body of knowledge underlying the M&S profession; the technical discipline of M&S; the ethical standards that should guide professional conduct; and the economic and commercial challenges today’s M&S professionals face. • Demonstrates applications of M&S tools and techniques in a variety of fields—such as engineering, operations research, and cyber environments—with over 500 types of simulations • Highlights professional and academic aspects of the field, including preferred programming languages, professional academic and certification programs, and key international societies • Shows why M&S professionals must be fully versed in the theory, concepts, and tools needed to address the challenges of cyber environments The Profession of Modeling and Simulation is a valuable resource for M&S practitioners, developers, and researchers working in industry and government. Simulation professionals, including administrators, managers, technologists, faculty members, and scholars within the physical sciences, life sciences, and engineering fields will find it highly useful, as will students planning to pursue a career in the M&S profession. “ ...nearly three dozen experts in Modeling and Simulation (M&S) come together to make a compelling case for the recognition of M&S as a profession... Important reading for anyone seeking to elevate the standing of this vital field.” Alfred (Al) Grasso, President & CEO, The MITRE Corporation Andreas Tolk, PhD, is Technology Integrator for the Modeling, Simulation, Experimentation, and Analytics Division of The MITRE Corporation, an adjunct professor in the Department of Engineering Management and Systems Engineering and the Department for Modeling, Simulation, and Visualization Engineering at Old Dominion University, and an SCS fellow. Tuncer Ören, PhD, is Professor Emeritus of Computer Science at the University of Ottawa. He is an SCS fellow and an inductee to SCS Modeling and Simulation Hall of Fame. His research interests include advancing methodologies, ethics, body of knowledge, and terminology of modeling and simulation.
Data Modelling And Process Modelling Using The Most Popular Methods
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Author : Rosemary Rock-Evans
language : en
Publisher: Butterworth-Heinemann
Release Date : 2014-05-12
Data Modelling And Process Modelling Using The Most Popular Methods written by Rosemary Rock-Evans and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Business & Economics categories.
Computer Weekly Professional Series: Data modeling and Process modeling: Using the Most Popular Methods focuses on the processes, methodologies, and approaches employed in data modeling and process modeling. The book first offers information on data modeling, how to do data modeling, and process modeling. Discussions focus on diagrammatic representation, main concepts of process modeling, merging the models, refining the data model, diagrammatic techniques, fundamental rules of data modeling, and other deliverables of data modeling. The text then examines how to do process modeling and improving a system using analysis deliverables. Topics include problems, causes and effects, events, obligations and objectives, verification methods, and refining the results. The manuscript reviews elementary activities, including structured text and access paths, updating the data model from the access paths and structured English, and other useful detailed deliverables of an elementary activity. The publication is a valuable source of data for researchers interested in data modeling and process modeling.
The Data Modeling Handbook
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Author : Michael C. Reingruber
language : en
Publisher: John Wiley & Sons
Release Date : 1994-12-17
The Data Modeling Handbook written by Michael C. Reingruber and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-12-17 with Computers categories.
This practical, field-tested reference doesn't just explain the characteristics of finished, high-quality data models--it shows readers exactly how to build one. It presents rules and best practices in several notations, including IDEFIX, Martin, Chen, and Finkelstein. The book offers dozens of real-world examples and go beyond basic theory to provide users with practical guidance.
Beginning Database Design
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Author : Gavin Powell
language : en
Publisher: John Wiley & Sons
Release Date : 2006
Beginning Database Design written by Gavin Powell and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
From the #1 source for computing information, trusted by more than six million readers worldwide.
Nbs Special Publication
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Author :
language : en
Publisher:
Release Date : 1968
Nbs Special Publication written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Physical measurements categories.