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

2,340 ratings
388 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

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.

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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176 - 200 of 378 Reviews for Applied Social Network Analysis in Python

By phantomxx

Oct 8, 2020

Great content and practices! Really useful.

By Mohammad H

Oct 26, 2018

the course will teach basic of SNA so clear

By Ayush R

Aug 5, 2018

Better Explanation, Not too hard to solve .

By Fengping W

May 1, 2018

It is really a good series, I learned a lot

By Sagar

Dec 29, 2018

Grate for solving network analytics issues

By John A C

Nov 17, 2019

I loved learning all about graph theory!

By hssni A

Nov 3, 2020

very well explained thank you very much

By Luiz H Q L

Sep 25, 2017

Great course, very informative. Thanks!

By Bruce M

Apr 27, 2020

Great course, Interesting assignments.

By Behzad M

Jan 19, 2020

Very interesting, I have learnt a lot.

By Dongquan S

Oct 21, 2019

Very well organized course. Thank you!

By Tina L

Dec 16, 2017

Good Elaboration. Very clear concepts.

By Esteban L C

Dec 18, 2020

Fast shipping. Item as described. A++

By Ivan

Jul 7, 2020

Was an Intresting and awesome course

By chenshenyou

Apr 13, 2020

very nice graph training, good work!

By Ho C

May 30, 2019

Great course with clear instructions

By Sangeeth S

Sep 5, 2020

Very interesting course! Loved it!

By Kristin A

Feb 15, 2019

A nice intro to networks in Python

By Guo X W

Jul 1, 2020

Fantastic, well-explained course!

By Jose Á P L

Apr 10, 2019

Buen curso para empezar con redes

By Jhon I

Nov 12, 2017

I have only say, really amazing.

By Valikhan B

Jun 28, 2020

Daniel Romero is a great speaker

By Igor K

Aug 23, 2019

Nice course, worth to listen to


Feb 24, 2019

Excellent delivery and content.

By David M

Oct 9, 2018

Excellent course and professor!