The Hands On Guide To Data Interpretation
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The Hands On Guide To Data Interpretation
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Author : Sasha Abraham
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-02
The Hands On Guide To Data Interpretation written by Sasha Abraham 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 2011-08-02 with Medical categories.
Not sure how to interpret the wealth of data in front of you? Do you lack confidence in applying the results of investigations to your clinical decision making? Then this pocket-sized, quick reference guide to data interpretation may be just right for you. The Hands-on Guide to Data Interpretation is the perfect companion for students, doctors, nurses and other health care professionals who need a reference guide on the ward or when preparing for exams. It focuses on the most common investigations and tests encountered in clinical practice, providing concise summaries of how to confidently interpret investigative findings and, most importantly, how to apply this to clinical decision making. The benefits of this book include: An overview of the normal ranges of test results, followed by a consideration of the differential diagnoses suggested by variance from these values Arranged by system to allow quick access to the key investigations encountered in different specialties A summary 'patient data' chapter to bring the different specialties together, providing an overview to completing investigation documentation and charts Summary table and bullet point format, with a full index, to aid rapid retrieval of information Each chapter reviewed by a specialist to ensure an accurate, practical approach to data interpretation Take the stress out of data interpretation with The Hands-on Guide!
The Hands On Guide To Data Interpretation
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Author :
language : en
Publisher:
Release Date : 2010
The Hands On Guide To Data Interpretation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Diagnosis, Laboratory categories.
Not sure how to interpret the wealth of data in front of you?Do you lack confidence in applying the results of investigations to your clinical decision making?Then this pocket-sized, quick reference guide to data interpretation may be just right for you. The Hands-on Guide to Data Interpretation is the perfect companion for students, doctors, nurses and other health care professionals who need a reference guide on the ward or when preparing for exams. It focuses on the most common investigations and tests encountered in clinical practice, providing concise summaries of how to confidently interp.
Data Analysis With Open Source Tools
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Author : Philipp K. Janert
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2010-11-11
Data Analysis With Open Source Tools written by Philipp K. Janert and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-11 with Computers categories.
Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications. Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you. Use graphics to describe data with one, two, or dozens of variables Develop conceptual models using back-of-the-envelope calculations, as well asscaling and probability arguments Mine data with computationally intensive methods such as simulation and clustering Make your conclusions understandable through reports, dashboards, and other metrics programs Understand financial calculations, including the time-value of money Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations Become familiar with different open source programming environments for data analysis "Finally, a concise reference for understanding how to conquer piles of data."--Austin King, Senior Web Developer, Mozilla "An indispensable text for aspiring data scientists."--Michael E. Driscoll, CEO/Founder, Dataspora
Guide To Intelligent Data Analysis
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Author : Michael R. Berthold
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-23
Guide To Intelligent Data Analysis written by Michael R. Berthold 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 2010-06-23 with Computers categories.
Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle – solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of “drowning in information, but starving for knowledge” the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examples to support pedagogical exposition. This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one’s exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.
Advanced Numpy Techniques A Comprehensive Guide To Data Analysis And Computation
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Author : Peter Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-18
Advanced Numpy Techniques A Comprehensive Guide To Data Analysis And Computation written by Peter Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-18 with Computers categories.
Advanced NumPy Techniques: A Comprehensive Guide to Data Analysis and Computation begins with a profound exploration of NumPy's core: the powerful and efficient `ndarray` data structure, which serves as the foundation for Python's data science ecosystem. The book covers universal functions for element-wise operations, broadcasting semantics for operations on differently shaped arrays, and linear algebra computations within NumPy. These principles will enable you to handle numerical problems with efficacy. The guide also delves into random number generation and sampling techniques for simulations and probabilistic analysis, and explores NumPy's file I/O functionality for effective data management. Throughout, clear explanations are accompanied by insightful tips and best practices. Practical examples clarify concepts, while common pitfalls are outlined to smooth your learning journey. This comprehensive guide equips you with the knowledge to perform advanced computations, and craft algorithms with NumPy, catering to both novices eager to learn and experienced analysts seeking to sharpen their skills.
Guide To Intelligent Data Science
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Author : Michael R. Berthold
language : en
Publisher: Springer
Release Date : 2020-08-15
Guide To Intelligent Data Science written by Michael R. Berthold and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-15 with Computers categories.
Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results. Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included. Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; includes numerous examples using the open source KNIME Analytics Platform, together with an introductory appendix; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; integrates illustrations and case-study-style examples to support pedagogical exposition; supplies further tools and information at an associated website. This practical and systematic textbook/reference is a “need-to-have” tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems. Moreover, it is a “need to use, need to keep” resource following one's exploration of the subject.
Head First Data Analysis
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Author : Michael Milton
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2009-07-24
Head First Data Analysis written by Michael Milton and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-24 with Business & Economics categories.
A guide for data managers and analyzers. It shares guidelines for identifying patterns, predicting future outcomes, and presenting findings to others.
Medical Statistics
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Author : Jennifer Peat
language : en
Publisher: John Wiley & Sons
Release Date : 2008-04-15
Medical Statistics written by Jennifer Peat 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 2008-04-15 with Medical categories.
Holistic approach to understanding medical statistics This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research. Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs. Showing you how to: analyse data with the help of data set examples (Click here to download datasets) select the correct statistics and report results for publication or presentation understand and critically appraise results reported in the literature Each statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites. Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors’ popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts.
Data Science For Beginners A Hands On Guide To Big Data
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Author : Michael Roberts
language : en
Publisher: Richards Education
Release Date :
Data Science For Beginners A Hands On Guide To Big Data written by Michael Roberts and has been published by Richards Education this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unlock the power of data with Data Science for Beginners: A Hands-On Guide to Big Data. This comprehensive guide introduces you to the world of data science, covering everything from the basics of data collection and preparation to advanced machine learning techniques and practical data science projects. Whether you're new to the field or looking to enhance your skills, this book provides step-by-step instructions, real-world examples, and best practices to help you succeed. Discover the tools and technologies used by data scientists, learn how to analyze and visualize data, and explore the vast opportunities that data science offers in various industries. Start your data science journey today and transform data into actionable insights.
Making Sense Of Data I
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Author : Glenn J. Myatt
language : en
Publisher: John Wiley & Sons
Release Date : 2014-07-02
Making Sense Of Data I written by Glenn J. Myatt 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 2014-07-02 with Mathematics categories.
Praise for the First Edition “...a well-written book on data analysis and data mining that provides an excellent foundation...” —CHOICE “This is a must-read book for learning practical statistics and data analysis...” —Computing Reviews.com A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors’ practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study. In order to facilitate the needed steps when handling a data analysis or data mining project, a step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. The tools to summarize and interpret data in order to master data analysis are integrated throughout, and the Second Edition also features: Updated exercises for both manual and computer-aided implementation with accompanying worked examples New appendices with coverage on the freely available TraceisTM software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance New topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches Additional real-world examples of data preparation to establish a practical background for making decisions from data Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The Second Edition is also an ideal textbook for undergraduate and graduate-level courses in data analysis and data mining and is appropriate for cross-disciplinary courses found within computer science and engineering departments.