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

4.6
stars
2,715 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

NK

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.

MS

Nov 17, 2020

I have never imagined such detailed analysis can be done on a network, nx in python is really powerful package with so many powerful functions that can do ample of analysis at a whim.

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301 - 325 of 455 Reviews for Applied Social Network Analysis in Python

By Martin H

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Feb 6, 2019

Great course!

By Lê P T

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Nov 29, 2020

vòi phun too

By Oscar P

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Nov 20, 2020

Great Course

By Pranav N

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Jun 7, 2020

Great course

By Shadi A

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Jun 23, 2019

Great course

By To P H

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Nov 11, 2018

Great course

By Sylvain D

•

Oct 19, 2018

Great course

By P V N S R R K

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Aug 5, 2020

Good course

By Ibadurrahman

•

Jun 11, 2020

good course

By Shwetank A

•

Jul 26, 2019

nice course

By Stephen S

•

May 3, 2019

Good Course

By Sonia D

•

Jan 27, 2019

Very useful

By Zhiling Z

•

Jul 5, 2018

good course

By José C

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Sep 9, 2020

Excellent!

By Irving B

•

Jun 18, 2020

Excellent!

By Michael

•

Dec 17, 2018

Great job!

By SUBIN S

•

Mar 25, 2021

very good

By Deleted A

•

Sep 2, 2020

very good

By Sebastian

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Jun 27, 2020

Very good

By Mehrdad M

•

Apr 17, 2020

very Good

By Arnab

•

Nov 3, 2017

Excellent

By Lester V

•

Jun 9, 2022

the best

By Charles R

•

Apr 16, 2020

complete

By Amro e b

•

Jul 15, 2020

parfect

By Pranab d

•

Mar 17, 2020

awesome