Volver a Network Data Science with NetworkX and Python
Opiniones y comentarios de aprendices correspondientes a Network Data Science with NetworkX and Python por parte de Coursera Project Network
83 calificaciones
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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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1 - 14 de 14 revisiones para Network Data Science with NetworkX and Python
por Jorge G
•25 de feb. de 2021
por Alberto P S
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por Xuejiao W
•26 de jul. de 2020
por dario e
•4 de nov. de 2020
por Avi L
•18 de nov. de 2020
por Juan A N F
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por Pris A
•19 de feb. de 2021
por chukka A
•26 de ene. de 2022
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•30 de sep. de 2020
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•6 de sep. de 2020
por tf
•26 de jul. de 2021
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