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

4.6
stars
2,681 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.

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 452 Reviews for Applied Social Network Analysis in Python

By chenshenyou

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Apr 13, 2020

very nice graph training, good work!

By Mike H

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May 30, 2019

Great course with clear instructions

By Sangeeth S

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Sep 5, 2020

Very interesting course! Loved it!

By Kristin A

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Feb 15, 2019

A nice intro to networks in Python

By Victor d l C

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Feb 15, 2021

This specialization is amazing!!!

By Guo X W

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Jul 1, 2020

Fantastic, well-explained course!

By Jose A P L

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Apr 10, 2019

Buen curso para empezar con redes

By Jhon I

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Nov 12, 2017

I have only say, really amazing.

By Valikhan B

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Jun 28, 2020

Daniel Romero is a great speaker

By Igor K

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Aug 23, 2019

Nice course, worth to listen to

By PREMAL M

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Feb 24, 2019

Excellent delivery and content.

By David M

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Oct 9, 2018

Excellent course and professor!

By Allyson D d L

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Feb 23, 2022

Amazing course. I love graphs.

By Georges B

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Oct 13, 2021

Best one of the Specialization

By Armand L

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Oct 28, 2018

Hard but instructive course !

By Tian L

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Aug 24, 2019

a great introductory course.

By Ayon B

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Nov 20, 2018

Nice course. Well presented.

By David K

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May 8, 2018

Amazing class. I loved this.

By Hemalatha N

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Dec 8, 2017

Good intro to using networkx

By Yu G

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Dec 23, 2020

Great course! Easy to pass.

By CHAN E C

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Dec 9, 2020

A very good learning course

By Anand T

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Jul 7, 2018

A bit intense, bu rewarding

By Ilias Z

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Feb 5, 2021

It was really tough for me

By Fernandes M R

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Jul 28, 2020

This course was new to me.

By BITATA G

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Sep 9, 2020

Enjoyed the whole course!