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

2,476 ratings
416 reviews

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.

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401 - 406 of 406 Reviews for Applied Social Network Analysis in Python

By Hiroki T

Mar 26, 2021

Python and related libs are SUPER old. Some important codes used in this specialization were duplicated and you cannot get enough explanations even on Google. Moreover, auto-graders have lots of problems. I finished this specialization but I cannot recommend this.

By Moustafa S

Aug 19, 2020

not usefull course, out dated materials and it doesn't work on new library, what's the use of it if it doesn't work anymore and noone uses it?

By A P

Jul 5, 2021

All assignments and lectures are outdated and will not work with current versions of Python.

By Christopher S

May 8, 2021

Vague, little explanation, I can get a better education on Udemy

By Sonam A

Dec 18, 2019

not interesting.

By José T

Jul 27, 2021

N​ot updated.