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Applied Social Network Analysis in Python, Мичиганский университет

Оценки: 1,069
Рецензии: 184

Об этом курсе

This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem. This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python....

Лучшие рецензии

автор: JL

Sep 24, 2018

It was an easy introductory course that is well structured and well explained. Took me roughly a weekend and I thoroughly enjoyed it. Hope the professor follows up with more advanced material.

автор: CG

Sep 18, 2017

Excellent tour through the basic terminology and key metrics of Graphs, with a lot of help from the networkX library that simplifies many, otherwise tough, tasks, calculations and processes.

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Рецензии: 178

автор: Santiago Daniel Denegri

Apr 22, 2019

This class was an excellent introduction to network analysis, where concepts, metrics and purpose of application where provided in a clear and digestible manners. The instructor made the class very livable with topics that might have been too dry under different circumstances.

автор: Keary Parinis

Apr 21, 2019

Nice way to end the 5 course specialization. Brought together several machine learning and python skills that I learned in the previous courses. Instructor does a great job introducing new concepts with high level theory and intuitive examples. Course slides were superb and can serve as future reference material.

автор: Parul Sharma

Apr 20, 2019


автор: Ana Maria Lopez Moreno

Apr 15, 2019

Excellent course.

автор: Keqi Liu

Apr 14, 2019

Interesting slides and knowledge. e.g. Page rank is super cool!!!!

автор: Jose Ángel Pereira López

Apr 10, 2019

Buen curso para empezar con redes

автор: Lee Chiau Hung

Apr 04, 2019

Awesome course!!! Helped me a lot to get started with graph analysis

автор: Daniel Burfoot

Apr 02, 2019

Great introduction to social graph analysis, along with a very useful and popular Python package NetworkX.

автор: ZHUOFU LI

Apr 01, 2019


автор: Christian Eduarte

Mar 27, 2019

Very new on this topic and very interesting