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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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201 - 225 of 455 Reviews for Applied Social Network Analysis in Python

By Steven G

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Nov 10, 2019

Excellent course. Interesting content and well taught.

By su l

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Mar 30, 2020

enjoyed it very much, thank you Professor and mentors

By Nishal

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Dec 4, 2019

Good information, at a good pace, explained very well

By Luiz H C d S

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Jan 1, 2022

It is a great course, it will help whoever does it.

By PURNA C R . K

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Jul 22, 2020

Indepth knowledge about network analysis. Thank you

By Krishna S R P

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Oct 21, 2019

the very best course it is very helpful and useful

By Lam H

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Dec 2, 2022

Helpful course with rich material for my learning

By SUBBA R D

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Jun 11, 2020

Very useful course especially for the beginners .

By Jun W

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Aug 19, 2018

A very interesting course, beyond my expectation.

By Sanjay K

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Jan 22, 2018

Michigan course everything is excellent. love it

By Eagan C

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Dec 1, 2020

Very clear in explaining these useful concepts

By Eric W

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Feb 3, 2020

Clear, concise, well organised and structured.

By Sebastian B B

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Aug 24, 2020

Manual calculation for quizes are useless imo

By Xin Y

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Apr 3, 2020

Excellent Course! Best in the specialization!

By Konstantinos M

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Sep 13, 2018

Very interesting topic and well-made lessons.

By Ho P D

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May 26, 2021

Nice course with broad overview of the topic

By phantomxx

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Oct 8, 2020

Great content and practices! Really useful.

By Mohammad H

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Oct 26, 2018

the course will teach basic of SNA so clear

By Ayush R

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Aug 5, 2018

Better Explanation, Not too hard to solve .

By Fengping W

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May 1, 2018

It is really a good series, I learned a lot

By Sagar

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Dec 29, 2018

Grate for solving network analytics issues

By John A C

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Nov 18, 2019

I loved learning all about graph theory!

By hssni A

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Nov 3, 2020

very well explained thank you very much

By Luiz H

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Sep 25, 2017

Great course, very informative. Thanks!

By Bruce M

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Apr 27, 2020

Great course, Interesting assignments.