This is a book on data science with a specific focus on industrial
experience. Data Science is a cross-disciplinary subject involving
hands-on experience and business problem-solving exposures. The
majority of existing introduction books on data science are about
the modeling techniques and the implementation of models using
R or Python. However, many of these books lack the context of the
industrial environment. Moreover, a crucial part, the art of data
science in practice, is often missing. This book intends to fill the
gap.