{"product_id":"making-sense-of-data-i-a-practical-guide-to-exploratory-data-analysis-and-data-mining-paperback","title":"Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eGlenn J. Myatt\u003c\/b\u003e (Author), \u003cb\u003eWayne P. Johnson\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePraise for the\u003c\/b\u003e \u003cb\u003e\u003ci\u003eFirst Edition\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\"...a well-written book on data analysis and data mining that provides an excellent foundation...\"\u003c\/p\u003e \u003cp\u003e\u003cb\u003e--CHOICE\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"This is a must-read book for learning practical statistics and data analysis...\"\u003c\/p\u003e \u003cp\u003e\u003cb\u003e--Computing Reviews.com\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003cbr\u003e \u003cbr\u003e \u003c\/b\u003eA proven go-to guide for data analysis, \u003ci\u003eMaking Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition\u003c\/i\u003e 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.\u003c\/p\u003e 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 \u003ci\u003eSecond Edition\u003c\/i\u003e also features: \u003cbr\u003e \u003cbr\u003e \u003cul\u003e \u003cli\u003eUpdated exercises for both manual and computer-aided implementation with accompanying worked examples\u003c\/li\u003e \u003cli\u003eNew appendices with coverage on the freely available Traceis(TM) software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance\u003c\/li\u003e \u003cli\u003eNew topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches\u003c\/li\u003e \u003cli\u003eAdditional real-world examples of data preparation to establish a practical background for making decisions from data\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003e \u003ci\u003eMaking Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition\u003c\/i\u003e is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The \u003ci\u003eSecond Edition\u003c\/i\u003e 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.\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePraise for the \u003ci\u003eFirst Edition\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"...a well-written book on data analysis and data mining that provides an excellent foundation...\"\u003c\/p\u003e \u003cp\u003e\u003cb\u003e--CHOICE\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"This is a must-read book for learning practical statistics and data analysis...\"\u003c\/p\u003e \u003cp\u003e\u003cb\u003e--Computing Reviews.com\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA proven go-to guide for data analysis, \u003ci\u003eMaking Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eIn 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 \u003ci\u003eSecond Edition\u003c\/i\u003e also features: \u003cbr\u003e \u003cbr\u003e \u003c\/p\u003e \u003cul\u003e \u003cli\u003eUpdated exercises for both manual and computer-aided implementation with accompanying worked examples\u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003eNew appendices with coverage on the freely available Traceis(TM) software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance\u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003eNew topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches\u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003eAdditional real-world examples of data preparation to establish a practical background for making decisions from data\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003e\u003cbr\u003e Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition\u003c\/i\u003e is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The \u003ci\u003eSecond Edition\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eGlenn J. Myatt, PhD, \u003c\/b\u003e is Chief Scientific Officer and Cofounder of Leadscope, Inc. The author of numerous journal articles, Dr. Myatt, is also the coauthor of \u003ci\u003eMaking Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications\u003c\/i\u003e and \u003ci\u003eMaking Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations\u003c\/i\u003e, both of which are published by Wiley.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eWayne P. Johnson, MSc, \u003c\/b\u003e is Cofounder of Leadscope, Inc., as well as a partner of Myatt \u0026amp; Johnson, Inc. He has over 35 years of experience in software engineering related to operating systems, telecommunications, and artificial intelligence at various companies including IBM, AT\u0026amp;T Bell Laboratories, and Ford Motor Company. He has led research projects related to informatics, and in addition to authoring numerous journal articles, Mr. Johnson is the coauthor of \u003ci\u003eMaking Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications\u003c\/i\u003e and \u003ci\u003eMaking Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations\u003c\/i\u003e, both of which are published by Wiley.\u003c\/p\u003e \u003cbr\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eGlenn J. Myatt, PhD, \u003c\/b\u003eis Chief Scientific Officer and Cofounder of Leadscope, Inc. The author of numerous journal articles, Dr. Myatt, is also the coauthor of \u003ci\u003eMaking Sense of Data II: A Practical Guide to Data Visualization\u003c\/i\u003e, \u003ci\u003eAdvanced Data Mining Methods, and Applications\u003c\/i\u003e and \u003ci\u003eMaking Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations\u003c\/i\u003e, both of which are published by Wiley.\u003cb\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003e\u003cb\u003eWayne P. Johnson, MSc, \u003c\/b\u003e is Cofounder of Leadscope, Inc., as well as a partner of Myatt \u0026amp; Johnson, Inc. He has over 35 years of experience in software engineering related to operating systems, telecommunications, and artificial intelligence at various companies including IBM, AT\u0026amp;T Bell Laboratories, and Ford Motor Company. He has led research projects related to informatics, and in addition to authoring numerous journal articles, Mr. Johnson is the coauthor of \u003ci\u003eMaking Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications\u003c\/i\u003e and \u003ci\u003eMaking Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations\u003c\/i\u003e, both of which are published by Wiley.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 256\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1 x 9.1 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 11, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48471789895929,"sku":"9781118407417","price":120.89,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/Zh2L1Q66jR9781118407417.webp?v=1780347552","url":"https:\/\/bookscloud.io\/products\/making-sense-of-data-i-a-practical-guide-to-exploratory-data-analysis-and-data-mining-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}