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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.
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Length 2 weeks
Effort 2 hours (1 hour for the guided project)
Starts Nov 21 (7 days ago)
Cost $9
From Coursera Project Network via Coursera
Instructor Danilo Lessa Bernardineli
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Data Analysis Math And Logic

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Rating Not enough ratings
Length 2 weeks
Effort 2 hours (1 hour for the guided project)
Starts Nov 21 (7 days ago)
Cost $9
From Coursera Project Network via Coursera
Instructor Danilo Lessa Bernardineli
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Data Analysis Math And Logic

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