Making Sense of Data

Beschreibung

A practical, step-by-step approach to making sense out ofdata Making Sense of Data educates readers on the steps and issues thatneed to be considered in order to successfully complete a dataanalysis or data mining project. The author provides clearexplanations that guide the reader to make timely and accuratedecisions from data in almost every field of study. A step-by-stepapproach aids professionals in carefully analyzing data andimplementing results, leading to the development of smarterbusiness decisions. With a comprehensive collection of methods fromboth data analysis and data mining disciplines, this booksuccessfully describes the issues that need to be considered, thesteps that need to be taken, and appropriately treats technicaltopics to accomplish effective decision making from data. Readers are given a solid foundation in the procedures associatedwith complex data analysis or data mining projects and are providedwith concrete discussions of the most universal tasks and technicalsolutions related to the analysis of data, including: * Problem definitions * Data preparation * Data visualization * Data mining * Statistics * Grouping methods * Predictive modeling * Deployment issues and applications Throughout the book, the author examines why these multipleapproaches are needed and how these methods will solve differentproblems. Processes, along with methods, are carefully andmeticulously outlined for use in any data analysis or data miningproject. From summarizing and interpreting data, to identifying non-trivialfacts, patterns, and relationships in the data, to makingpredictions from the data, Making Sense of Data addresses the manyissues that need to be considered as well as the steps that need tobe taken to master data analysis and mining.

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Glenn J. Myatt

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"This book is written in plain language and is useful toyou who wants to learn about the business of gathering andanalyzing data and accomplishing the objectives you set beforehand.Its most important message I think is that you define the problemso that the data gathered will be tailored to solvingit." (Biz India, 22 December 2012)".a well-written book on data analysis and data miningthat provides an excellent foundation." (CHOICE, May2007)"This is a must-read book for learning practical statistics anddata analysis" (Computing Reviews.com, May 22, 2007)".the book should be accessible to all its intendedreaders." (MAA Reviews, December 28, 2006)
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