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General Introduction to Data Analytics by João Moreira, Tomás Horvath and Andre Carvalho (2018, Hardcover)
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A General Introduction to Data Analytics is an essential guide to understand and use data analytics. The authors—noted experts in the field—highlight an explanation of the intuition behind the basic data analytics techniques.
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About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-101119296242
ISBN-139781119296249
eBay Product ID (ePID)240664713
Product Key Features
Number of Pages352 Pages
Publication NameGeneral Introduction to Data Analytics
LanguageEnglish
SubjectProbability & Statistics / General, Data Processing, Databases / Data Mining
Publication Year2018
TypeTextbook
AuthorJoão Moreira, Tomás Horvath, Andre Carvalho
Subject AreaMathematics, Computers
FormatHardcover
Dimensions
Item Height0.9 in
Item Weight25.6 Oz
Item Length8.9 in
Item Width6.1 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2017-060728
TitleLeadingA
Dewey Edition23
Dewey Decimal519.50285
SynopsisA guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors noted experts in the field highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniques A unique illustrative example that extends throughout all the chapters Exercises at the end of each chapter and larger projects at the end of parts II and III of the book Supplemented with PowerPoint slides available for instructors on a Wiley Book Companion Site Together with these learning resources, the book can be used in a 13-week course guide, one chapter per course topic. The book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. A General Introduction to Data Analytics is a basic guide to data analytics written in highly accessible terms., A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics., A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors--noted experts in the field--highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniques A unique illustrative example that extends throughout all the chapters Exercises at the end of each chapter and larger projects at the end of each of the text's two main parts Together with these learning resources, the book can be used in a 13-week course guide, one chapter per course topic. The book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. A General Introduction to Data Analytics is a basic guide to data analytics written in highly accessible terms.
LC Classification NumberQA276.4.M664 2018
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