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

4.7
stars
2,239 ratings
365 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

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.

JL
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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226 - 250 of 355 Reviews for Applied Social Network Analysis in Python

By Hassan N

Jan 26, 2020

thank's so much

By Anurag B

Jun 12, 2019

Great Content!!

By Akash D

Mar 26, 2020

Thank You! Sir

By akash p

Mar 23, 2020

it was helpful

By Sara E E

Feb 2, 2018

very practical

By Nguyen T G L

Nov 22, 2020

Great course!

By JATIN G

Jul 24, 2019

nice learning

By Jose H C

Jul 13, 2019

Interesting.!

By Martin H

Feb 6, 2019

Great course!

By OSCAR J P F

Nov 20, 2020

Great Course

By Pranav N

Jun 7, 2020

Great course

By Shadi A

Jun 23, 2019

Great course

By To P H

Nov 11, 2018

Great course

By Sylvain D

Oct 19, 2018

Great course

By P V N S R R K

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

Sep 9, 2020

Excellent!

By Irving B

Jun 18, 2020

Excellent!

By Michael

Dec 17, 2018

Great job!

By Deleted A

Sep 2, 2020

very good

By Sebastian

Jun 27, 2020

Very good