Network Data Science with NetworkX and Python

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Network Data Science with NetworkX and Python provided by Coursera is a comprehensive online course, which lasts for 1-2 hours worth of material. Network Data Science with NetworkX and Python is taught by Danilo Lessa Bernardineli. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • In this 1-hour long project-based course, you are going to be able to perform centrality network analysis and visualization on educational datasets, to generate different kinds of random graphs which represents social networks, and to manipulate the graph and subgraph structures, allowing you to break and get insights on complex structures.

    This guided project is for people who want to incorporate network data science skills into their technology portfolio. This is a topic of interest to researchers, marketers, consultants and practitioners associated with the knowledge areas of social science, marketing, social media, operational research and complexity science.

    Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.