Comprehensive network science course covering network properties, models, centrality, community detection, and real-world applications. Hands-on labs using Python's NetworkX.
This course provides an introduction to the field of network science, covering topics such as network properties, power laws, random graph models, small-world and scale-free networks, centrality measures, link analysis, community detection, and more. The course includes both theoretical lectures and hands-on labs using the NetworkX library in Python.
This course is recommended for students and professionals interested in data analysis, machine learning, and the study of complex systems. It provides a solid foundation in network science and equips learners with the skills to analyze and visualize network data in a variety of domains.
Learn by Doing from Your Browser Sidebar
Simply install the browser extension and click to launch GetVM directly from your sidebar.
Choose your OS, IDE, or app from our playground library and launch it instantly.
Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.