This workshop will explore core and emerging techniques and applications for network analysis, including centrality analysis, community detection, connectivity analysis, path analysis, link prediction, and scalable approaches.
These topics will be explored in the context of real application areas such as precision medicine, neuroscience, resource allocation, cyber security, and anomaly detection, through lectures and experimentation led by experts in the field.
Course attendees will gain an understanding of the challenges and best practices related to graphs, their analysis, and visualization of data. You’ll also be able to interpret data into actionable insights in your organization.
A working knowledge of calculus, statistics, computer science, software design, and systems engineering practices with some exposure to data science and data structures.