How to Lead in Data Science

This practical leadership manual explores the intersection of technical expertise and management skills required to lead data science teams effectively. The work addresses common challenges such as communicating complex analytics to stakeholders, building cross-functional partnerships, and creating data-driven cultures within organizations. Targeted at experienced data scientists moving into leadership roles, the book balances theoretical frameworks with actionable strategies for managing technical talent and driving business impact through analytics initiatives.