This series explores ethics in data science and its importance in promoting responsible and morally sound practices in the field. It covers topics such as data privacy, bias and fairness, transparency and accountability, and ethical decision-making. The series aims to provide guidance and strategies for professionals to navigate the ethical challenges in data science and foster responsible innovation.