Qualitative Comparative Analysis (QCA) is a set-theoretic technique for comparing intermediate to large numbers of cases that models causal complexity to analyze necessary or sufficient conditions for an outcome. This five-day online course introduces QCA as an approach and a technique, its main assumptions, its standard procedures and operations, and the technical environment used for its application. Participants gain a thorough understanding of the formal logic of set-theoretic methods and QCA, including topics such as Boolean algebra, causal complexity, sets and their calibration, necessity, and sufficiency. The course discusses the logic and analysis of truth tables and the most important problems that emerge when this analytical tool is used for exploring social science data. Right from the beginning, participants are exposed to performing set-theoretic analyses with the relevant R software packages using data from published applications in the social sciences.