Making Sense of Data I A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition

ISBN-10: 1118407415
ISBN-13: 9781118407417
Edition: 2nd 2014
List price: $111.95
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Description: With a focus on the needs of educators and students, Making Sense of Data presents the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project.  This Second Edition focuses on basic data  More...

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Book details

List price: $111.95
Edition: 2nd
Copyright year: 2014
Publisher: John Wiley & Sons, Incorporated
Publication date: 7/28/2014
Binding: Paperback
Pages: 248
Size: 6.00" wide x 8.75" long x 0.75" tall
Weight: 1.012
Language: English

With a focus on the needs of educators and students, Making Sense of Data presents the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project.  This Second Edition focuses on basic data analysis approaches that are necessary to complete a diverse range of projects.  New examples have been added to illustrate the different approaches, and there is considerably more emphasis on hands-on software tutorials to provide real-world exercises.  Via the related Web site, the book is accompanied by Traceis software, data sets, and tutorials; PowerPoint slides for classroom use; and other supplementary material to support educational classes.  The authors provide clear explanations that guide readers to make timely and accurate decisions from data in almost every field of study. A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions.  The topical coverage has been revised throughout to ensure only basic data analysis approaches are discussed, and new appendices have been added on the Traceis software as well as new tutorials using a variety of data sets with the software.  Additional examples of data preparation, tables of graphs, statistics, grouping, and prediction have been included, and the topics of multiple linear regression and logistic regression have been added to provide a range of widely used and transparent approaches to performing classification and regression.

#60;b#62;Glenn J. Myatt, PhD,#60;/b#62; is cofounder of Leadscope, Inc. and a Partner of Myatt & Johnson, Inc., a consulting company that focuses on business intelligence application development delivered through the Internet. Dr. Myatt is the author of #60;i#62;Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining#60;/i#62;, also published by Wiley. #60;b#62;WAYNE P. JOHNSON, MSc.,#60;/b#62; is cofounder of Leadscope, Inc. and a Partner of Myatt & Johnson, Inc. Mr. Johnson has over two decades of experience in the design and development of large software systems, and his current professional interests include human-computer interaction, information visualization, and methodologies for contextual inquiry.

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