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Applied Social Network Analysis in Python, University of Michigan

4.6
854 ratings
153 reviews

About this Course

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....

Top reviews

By 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.

By 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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149 Reviews

By Robert J King

Dec 19, 2018

The course starts off a bit slow but gets you used to the NetworkX module. The last exercise is a pretty neat culmination of the this course and specialization. It would have been cool for it to also involve text mining, but I enjoyed it and the course in general.

By Michael K.

Dec 17, 2018

Great job!

By Arpit Maheshwari

Dec 15, 2018

very good course

By Diego Trujillo Bedoya

Dec 11, 2018

very useful and engaging. A was hoping a very different scope on the course but this approach did very well.

By Bart T Cubrich

Dec 10, 2018

Great course! Love the instructor. Good background in networks, while sticking to the applied side of things.

By Wei Wu

Dec 09, 2018

This is by far my favorite Coursera course - well organized contents and intuitive example!

By Jose Plana

Dec 08, 2018

Social Network was completely new to me and I found this course provided basic and more detailed information about the matter, and also enough documentation to continue learning. I see there is much more to learn, but the course was a great introduction.

By Deleted Account

Dec 05, 2018

great

By 高宇

Dec 02, 2018

Very Nice Coursera! It lead me to reknow the relations among the worrld.

By Steffen Heinz

Nov 21, 2018

Course was ok, the assignments are not too difficult. I wish the course would provided more insights and discussions of the presented metrics of centrality though.