This chapter emphasizes the transformative impact of data-driven methodologies on cultural research and introduces the emerging field of cultural data science as a fusion of traditional art historical inquiry with computational tools and techniques. Examples, such as the analysis of the Museum of Modern Art’s dataset and innovative visualization techniques, illustrate the potential of data science to uncover new perspectives and patterns in art historical research. This chapter concludes by positioning data science as both a complement to traditional methods and a transformative force for reimagining art history in the digital age.