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This course is taught en bloc. For dates and times, please see the entry on eCampus. Over the past two decades, the range of methods used by philosophers to address philosophical problems has expanded significantly. Alongside traditional philosophical approaches, philosophers have increasingly experimented with methodologies drawn from the empirical and formal sciences, including experiments, simulations, data analysis, and formal modelling. Data plays a central role in all of these approaches. This course aims to provide philosophy students with solid foundations in data science, equipping them with the technical knowledge needed to manage, analyse, and extract insights from data. The course covers key concepts in statistics, data representation, data analysis, and data visualization, applying them to the investigation of real-world datasets related to philosophy and its history. Students will also become familiar with R, a standard programming language for computational statistics and SQL, a standard language used to query databases, acquiring practical skills that are valuable not only for academic research but also on the broader job market.