Publisher's Synopsis
This is constantly evolving, and the updated book continues to fill the need for a concise and conversational book on the hot and growing field of Data Science. Easy to read and informative, this lucid and constantly updated book covers everything important with concrete examples and invites the reader to join this field. The 2023 revised edition includes Data Lakes, Recommendation Engines, Sample Data Mining Projects, and more.
The chapters in the book are organized for a typical one-semester course. The book contains case lets from real-world stories at the beginning of every chapter. There is also a running case study across the chapters as exercises. This book is designed to provide a student with the intuition behind this evolving area and a solid toolset of the major data mining techniques and platforms. The 2022 edition has a summary chapter that encapsulates the entire book in just main 50 points in a few pages. Finally, it includes a tutorial for R and a tutorial for Python. It contains expanded primers on Big Data, Artificial Intelligence, Data Science careers, and Data Ownership and Privacy. The 2022 edition is updated with a relationship to Artificial Intelligence in many ways. It includes topics such as Data Lakes and Data sharing practices. This constantly evolving book has proved very popular throughout the world. Dozens of universities worldwide have adopted it as a textbook for their courses. Students across various academic disciplines, including business, computer science, statistics, engineering, and others, are attracted to discovering new insights and ideas from data and can use this as a textbook. Professionals in various domains, including executives, managers, analysts, professors, doctors, accountants, and others, can use this book to learn in a few hours how to make sense of and develop actionable insights from the enormous data coming their way. This is a flowing book that one can finish in one sitting, or one can return to it again and again as a reference book for insights and techniques.
