If you are looking to get started in Data Science, or in the entry-level to intermediate level, this book is just the right fit for you. The “Hands-On Introduction to Data Science” newly published book by our lab director, Dr. Shah, is filled with hands-on examples, a wide range of practices and real-life applications that will help you develop a solid understanding of the subject. No prior technical background or computing knowledge needed for this book
If you are instructors and looking for a good textbook for your class, the book also provides end-to-end support for teaching a data science course. The book provides curriculum suggestions, slides for each chapter, datasets, program scripts, and solutions to each exercise, as well as sample exams and projects.
Reviews & Endorsements
‘Dr. Shah has written a fabulous introduction to data science for a broad audience. His book offers many learning opportunities, including explanations of core principles, thought-provoking conceptual questions, and hands-on examples and exercises. It will help readers gain proficiency in this important area and quickly start deriving insights from data.’ Ryen W. White, Microsoft Research AI.
This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science.
- Almost everything in the book is accompanied with examples and practice – both in-chapter and end-of-chapter so students are more engaged because they can use hands-on experiences to see how theories relate to solving practical problems
- Assumes no prior technical background or computing knowledge and lowers the barrier for entering the field of data science so that students from a range of disciplines can benefit from a more accessible introduction to data science
- Supplemented by a generous set of material for instructors, including curriculum suggestions and syllabi, slides for each chapter, datasets, program scripts, answers and solutions to each exercise, as well as sample exams and projects which gives instructors end-to-end support for teaching a data science course