The field of Data Science (DS) has grown from a bunch of "fancy" techniques that could "also" be applied into a set of well-founded methods to solve hard problems in various fields such as engineering and technology, science, and economics. This ubiquitous applicability of Data Science/ Artificial Intelligence (DS/AI) to a wide array of problems is a direct consequence of its generality, which in turn, has been fuelled by the complementary interaction between theory and application.