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Informationen zum Autor João Mendes Moreira, PhD, is an assistant professor in the Faculty of Engineering at the University of Porto, Porto, Portugal and is also a researcher in LIAAD-INESC TEC, Porto, Portugal. André de Carvalho, PhD, is a full professor in the Institute of Mathematics and Computer Science at the University of São Paulo, Brazil. Tomáš Horváth, PhD, is an assistant professor at the Faculty of Informatics of the Eötvös Loránd University in Budapest, Hungary, and is also associated with the Faculty of Science at the Pavol Jozef Šafárik University in Košice, Slovakia. Klappentext 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 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. Zusammenfassung 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. Inhaltsverzeichnis Preface xiii Acknowledgments xv Presentational Conventions xvii About the Companion Website xix Part I Introductory Background 1 1 What Can We Do With Data? 3 1.1 Big Data and Data Science 4 1.2 Big Data Architectures 5 1.3 Small Data 6 1.4 What is Data? 7 1.5 A Short Taxonomy of Data Analytics 9 1.6 Examples of Data Use 10 1.6.1 Breast Cancer in Wisconsin 11 1.6.2 Polish Company Insolvency Data 11 1.7 A Project on Data Analytics 12 1.7.1 A Little History on Methodologies for Data Analytics 12 1.7.2 The KDD Process 14 1.7.3 The CRISP-DM Methodology 15 1.8 How this Book is Organized 16 1.9 Who Should Read this Book 18 Part II Getting Insights from Data 19 2 Descriptive Statistics 21 2.1 Scale Types 22 2.2 Descriptive Univariate Analysis 25 2.2.1 Univariate Frequencies 25 2.2.2 Univariate Data Visualization 27 2.2.3 Univariate Statistics 32 2.2.4 Common Univariate Probability Distributions 38 2.3 Descriptive Bivariate Analysis 40 2.3.1 Two Quantitative Attributes 41 2.3...
