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

4.7
stars
2,408 ratings
•
403 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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251 - 275 of 392 Reviews for Applied Social Network Analysis in Python

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

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Jul 13, 2019

Interesting.!

By Martin H

•
Feb 6, 2019

Great course!

By Lê P T

•
Nov 29, 2020

vòi phun too

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 SUBIN S

•
Mar 25, 2021

very good

By Deleted A

•
Sep 2, 2020

very good

By Sebastian

•
Jun 27, 2020

Very good

By Mehrdad M

•
Apr 17, 2020

very Good

By Arnab

•
Nov 3, 2017

Excellent

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