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.
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