The virtual course "Applied Social Network Analysis in Python - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 29 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
This course will introduce the student to network analysis through tutorials using the NetworkX library.
The course begins with an understanding of what network analysis is and the motivations for why we can model phenomena as networks.
The second week introduces the concept of network connectivity and robustness.
The third week will explore ways to measure the importance or centrality of a node in a network.
The final week will explore the evolution of networks over time and will cover network generation models and the link prediction problem.
This course should be taken after: Introduction to Data Science in Python, Applied Trace, Graphing and Data Representation in Python, and Applied Machine Learning in Python.
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University of Michigan
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