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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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76 - 100 of 452 Reviews for Applied Social Network Analysis in Python

By Luiz H S (

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Aug 23, 2020

Basic yet informative course. The videos are well paced and the presenter is instructive. The exercises are well made, putting more enphasis on what was learned in the videos.

By Nick P

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Oct 7, 2017

Interesting material and easy to follow. Assignments and quizzes were sufficiently challenging, but not too difficult that I spent entire weekends troubleshooting my code.

By Korkrid A

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Sep 27, 2017

It's rare to find an amazing course in network analysis online, and I'm very glad to have taken this course and learn the art of network analysis for research purposes.

By Servio P

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Nov 18, 2017

This course contains many important concepts of Graph Theory and Network Analysis. The explanation is clear and neat. Also, the assignments are fun and comprehensible.

By Saurabh S

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Feb 19, 2018

Very comprehensive course for introduction of social network analysis. Best part is every concept is covered in detail and how to implement using networkx library.

By Nussaibah B R S

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Jun 2, 2019

I found it hard sometimes to understand the concepts but this gave me quite an introduction on social network analysis and encouraged me to learn more about them.

By Jorge A S

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Feb 27, 2018

Great explanations. The instructor is awesome and has good visual material. In-video quizzes keep you engaged during the lecture. I am very happy with the course.

By 谢仑辰

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Mar 23, 2018

I really appreciate that you offer me such a great specialization of courses.Since I've finished the final course eventually, I should offer my gratitude to you.

By Fabrice L

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Nov 23, 2017

Very good class.

The lecturer is amazing!! The quizzes help you understand the concepts. The assignments are a little basic though.

Overall you learn a great deal.

By Punam P

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Apr 25, 2020

Very nice platform to learn & enhance skill. Thanks to Prof. and team.. Also thanks to university and coursera platform for providing such a big platform to us.

By Morgan S

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Jul 22, 2020

Great introductory course to graph theory! Dr. Romero is one of the most engaging professors that I've had, both in-person and online. The assignments are fun.

By Jiaqi d

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Dec 15, 2019

Really helpful. Get a basic idea of the social network and how to use python to analyze it. Will definitely dig deeper and see how it could relate to my work .

By Tarit G

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Dec 2, 2020

Excellent course to learn Network Analysis using Python. Thank you to the instructor and whole team behind making this course for providing such good content.

By Bagher K

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Jul 1, 2023

The course was prefect in my opinion.

Very clear teaching materials and the assignments were neither too easy nor very complicated.

Thanks a lot to the tutor.

By Soh Y Z

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Nov 16, 2020

Clear explanation. Very well taught course. Will be good if the course also teaches us how to extract social network information from social media sites.

By Avulapati N

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Jul 3, 2020

A nice short course on Networks. This was one of the best courses I've taken on Coursera.

The course content, instructor and assignments are all amazing.

By Piyush V

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Jan 29, 2020

All over the course is very relevant to what is a need in industry. Very nice video lectures, to the point and crisp. Material is quite informative too.

By M J

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Jun 4, 2018

An excellent course which is well planned and executed! If you're following the specialization, it's a welcome relief after the text analysis course.

By Lutz H

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Jul 19, 2019

Great course! Really well explained with intuitive examples and great illustrations. At the end there is an interesting but challenging assignment.

By Devon H

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May 5, 2018

Great lecturer, comprehensive material and unlike other courses in this specialisation, actually prepares you well for the assignments and quizzes.

By Atilio T

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Mar 22, 2020

Excellent course. The lecturer explains in a simple way to understand, and exercise are interested to the analysis of social network using python.

By Vincenzo T

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May 16, 2019

Very good course! I was afraid going into this after going the rather bad "Text Mining". However, it was super fun, well done and informative!

By Vladimir

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Dec 29, 2017

A very good course to learn about networks. Thanks!

The cherry on top was to apply machine learning techniques to predict how the net evolves.

By Siyang

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Oct 22, 2017

Best course in the series. The lecturer managed to explain difficult concepts very clearly through its excellent slides and words. Thank you!

By Vinicius O

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Mar 16, 2020

This course was fantastic, with a lot of information and tips important for me. The instructor is very focused and I have confidence on him.