Data to Wisdom: A Comprehensive Guide is intended for several sorts of readers: Who seek for insights on the latest methodologies and topics on data and data science. There is a huge opportunity to find and share the insights contained in data. We believe there is a relatively small set of fundamental concepts or principles that underlie techniques for extracting useful knowledge from data. These concepts serve as the foundation for many well-known algorithms of data mining. Moreover, these concepts underlie the analysis of data-centred business problems, the creation and evaluation of data science solutions, and the evaluation of general data science strategies and proposals. Accordingly, we organized the book on the topics of big data, data mining, deep learning, the various statistical approaches in data mining and introduction to machine learning. Where ever necessary to describe procedural details, we use a combination of text and diagrams. The book by its very nature the material is somewhat technical—the goal is to impart a significant understanding of data science, not just to give a high-level overview.