Introduction to Digital Humanities by Harvard University
This foundational course introduces students to the field of digital humanities, demonstrating how computational methods can enrich traditional humanities scholarship. Through hands-on modules and case studies, learners explore key techniques such as text mining, network analysis, and digital archiving.
Designed for students, researchers, and professionals in the humanities, the course offers practical insight into how digital tools can uncover new patterns, connections, and interpretations in cultural and historical data.
Computational Social Science Specialization
This interdisciplinary program of University of California, Davis (https://www.coursera.org/specializations/computational-social-science-ucdavis) trains students to apply computational methods to the study of social phenomena. Bridging social theory with data science, the specialization covers tools and techniques used to analyze large-scale social data, simulate social systems, and model complex behavior.
Learners will gain hands-on experience with graph theory, machine learning, natural language processing, and agent-based modelling—while developing a solid foundation in the principles of social science research. Ideal for students, researchers, and professionals seeking to explore the social world through a computational lens.
ACTISS: Computational Social Science MOOC
This short but rigorous course introduces foundational concepts in computational social science, helping learners understand why social systems often behave unpredictably. Aimed at researchers and students across disciplines, the program equips participants with the tools to model, simulate, and visualize social phenomena. Course topics include agent-based modelling, network theory, collective behavior, and data visualization, providing a strong conceptual and practical grounding for interdisciplinary social research.
