Last edited by Kagul
Wednesday, July 29, 2020 | History

6 edition of Making sense of data found in the catalog.

Making sense of data

a self-instruction manual on the interpretation of epidemiological data

by J. H. Abramson

  • 318 Want to read
  • 40 Currently reading

Published by Oxford University Press in New York .
Written in English

    Subjects:
  • Epidemiology -- Statistical methods,
  • Epidemiology -- Statistical methods -- Problems, exercises, etc

  • Edition Notes

    StatementJ.H. Abramson.
    Classifications
    LC ClassificationsRA652.4 .A27 1988
    The Physical Object
    Paginationxii, 326 p. :
    Number of Pages326
    ID Numbers
    Open LibraryOL2394448M
    ISBN 100195050924, 0195050932
    LC Control Number87024074

    Get Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining now with O’Reilly online learning.. O’Reilly members experience live online training, plus books, videos, and digital content from + publishers. Explore a preview version of Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, 2nd Edition right now. O’Reilly members get unlimited access to live online training experiences, plus books, videos, and digital content from + publishers.

    Making Sense of Data II book. Read reviews from world’s largest community for readers. This title provides a general end-to-end discussion concerning the /5. Making Sense of Data through Statistics: An Introduction. Dorit Nevo Rensselaer Polytechnic Institute. Guiding the Digital Transformation of Organizations - 2nd ed. Vallabh Sambamurthy.

    Dec 13,  · Getting Started with Data Science is an excellent resource for statistical analysis and data science. Whether you're an experienced data scientist or a complete beginner, this book is a valuable resource as it provides a unique perspective by focusing on the stories that data can tell/5(9). User-friendly and accessible, Making Sense of Qualitative Data is not intended as a comprehensive cookbook of methods. It describes and illustrates a number of key, complementary approaches to qualitative data and offers practical advice on the many ways to analyze data, which the reader is encouraged to explore and enjoy.4/5(1).


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Making sense of data by J. H. Abramson Download PDF EPUB FB2

May 20,  · 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 /5(4). A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques.

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The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study/5(16). Jan 18,  · His book is one of the more Human Data Science books you can use everyday and in a corriculum. Your students will keep and cherish the book forever and could potentially use it in the office/on site.

Real world issues, real job solutions backed by data science methods/5(7). User-friendly and accessible, Making Sense of Qualitative Data is not intended as a comprehensive cookbook of methods. It describes and illustrates a number of key, complementary approaches to qualitative data and offers practical advice on the many ways to analyze data, which the reader is encouraged to explore and enjoy.

Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining (Second Edition) Glenn J. Myatt, Wayne P. Johnson: Associated Software (Traceis ) Instructions Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and.

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 elizrosshubbell.com A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining/5(7).

Making Sense of Data. This book addresses the issues of using Data Analysis Tools in a service or administrative setting. Written in the easy, reader-friendly style of Understanding Variation, but with the in-depth content of Understanding Statistical Process Control, the book handles new and comprehensive concepts with great clarity/5.

Book Description. A practical, step-by-step approach to making sense out of data. Making Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project.

Jun 30,  · 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. As well as making data easier to interpret, the techniques the book presents are valuable communication tools that will help the reader use information more effectively with others.

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Sep 06,  · Making Sense of Data is designed as a workbook of short exercises and instructional self-tests that introduce fundamental approaches and procedures in data interpretation and develop competency in working with epidemiologic tools. Basic concepts are presented in the first section, which also demonstrates the step-by-step assessment of data.

Making Sense of Data is designed as a workbook of short exercises and instructional self-tests that introduce fundamental approaches and procedures in data interpretation and develop competency in working with epidemiologic tools. Basic concepts are presented in the first section, which also demonstrates the step-by-step assessment of data.5/5(1).

the book or with data sets of interest to the reader, is available for downloading from a companion website. The book is aimed towards professionals in any discipline who are interested in making decisions from data in addition to understanding how data mining can be used.

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