Network Data Science with NetworkX and Python
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.
Social Network Analysis
The course is quick and good, very practical, maybe lacking a little bit of the theory and other practical examples of use. But overall very happy
Please! PLease! Please! Change your accent and make your pronunciations clear. Could've rated 2 or 3 stars but didn't because the content of the guided project is good.