Data Science: Network Science

Data Science: Network Science is a five-day intensive course offered as part of the Utrecht Summer School that introduces concepts and tools in network science and their application to social, economic and biological questions. The course combines lectures and hands-on programming practicals in Python and R, covering topics such as network description, formation models, community detection, link prediction, network inference and contagion dynamics. Participants receive course materials, lunch during course days and a certificate of completion. The course is designed for participants with a technical background who wish to learn to analyse different types of networks.

Course instruction and materials, lunch during course days, certificate of completion; optional university-arranged housing available for an additional fee.

Participants should be proficient in spoken and written English, comfortable programming in either Python or R, and have a basic understanding of algebra, probability and statistics. The course is aimed at participants with some technical background.

Register online through the Utrecht Summer School application/registration portal.