Organizations run on people, but how do we make evidence-based decisions about them? This course explores the dynamic intersection of psychological science and applied data analytics. Students will dive into real-world workforce datasets to solve critical organizational challenges, from predicting employee turnover and optimizing team dynamics to evaluating human-AI collaboration and auditing algorithmic fairness. By blending statistical methodology with psychological theory, this course equips students with the tools to translate complex workforce metrics into actionable, ethical, and data-driven strategies for modern leadership.