This book is a timely and critical introduction for those interested in
what data science is (and isn't), and how it should be applied. The
language is conversational and the content is accessible for readers
without a quantitative or computational background; but, at the same
time, it is also a practical overview of the field for the more
technical readers. The overarching goal is to demystify the field and
teach the reader how to develop an analytical mindset instead of
following recipes. The book takes the scientist's approach of focusing
on asking the right question at every step as this is the single most
important factor contributing to the success of a data science project.
Upon finishing this book, the reader should be asking more questions
than I have answered. This book is, therefore, a practising scientist's
approach to explaining data science through questions and examples.