Chevron Left
Back to Applied Social Network Analysis in Python

Learner Reviews & Feedback for Applied Social Network Analysis in Python by University of Michigan

2,632 ratings

About the 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


May 2, 2019

This course is a excellent introduction to social network analysis. Learnt a lot about how social network works. Anyone learning Machine Learning and AI should definitely take this course. It's good.


Sep 23, 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.

Filter by:

76 - 100 of 437 Reviews for Applied Social Network Analysis in Python

By Servio P

Nov 18, 2017

By Saurabh S

Feb 19, 2018

By Nussaibah B R S

Jun 2, 2019

By Jorge A S

Feb 27, 2018

By 谢仑辰

Mar 23, 2018

By Fabrice L

Nov 23, 2017

By Punam P

Apr 25, 2020

By Morgan S

Jul 22, 2020

By Jiaqi d

Dec 15, 2019

By Tarit G

Dec 2, 2020

By Soh Y Z

Nov 16, 2020

By Avulapati N

Jul 3, 2020

By Piyush V

Jan 29, 2020

By M J

Jun 4, 2018

By Lutz H

Jul 19, 2019

By Devon H

May 5, 2018

By Atilio T

Mar 22, 2020

By Vincenzo T

May 16, 2019

By Vladimir

Dec 29, 2017

By Siyang

Oct 22, 2017

By Vinicius d A O

Mar 16, 2020

By David M

Feb 26, 2021

By Γεώργιος Κ

May 15, 2018

By Suyash D

Dec 19, 2018

By Kueida L

Sep 3, 2020