| Contents Notes |
What can we do with data? -- Descriptive statistics -- Descriptive multivariate analysis -- Data quality and pre-processing -- Clustering -- Frequent pattern mining -- Resume and project on descriptive analytics -- Regression -- Classification -- Additional predictive methods -- Advanced predictive topics -- Resume and project on predictive analytics -- Applications for text, web and social media. 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.-- |
