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Avis et commentaires pour d'étudiants pour Applied Social Network Analysis in Python par Université du Michigan

2,646 évaluations

À propos du cours

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....

Meilleurs avis


2 mai 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.


23 sept. 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 sur 440 Avis pour Applied Social Network Analysis in Python

par Renzo B

23 sept. 2019

I learned a lot of things that I can apply to my line of work.

par Charles L

4 févr. 2019

A completely new area for me, and a really fascinating course.

par Yee F

1 juil. 2021

Course is much easier to understand that applied text mining.

par Haris P D

31 janv. 2020

One of the most awesome course that I have taken on Coursera!

par Wai Y P S

22 juin 2021

Thanks you so much University of Michigan for Great course

par Marco Z

22 avr. 2020

Very interesting , a new point of view for future analysis!

par Israel D D G

22 août 2020

Excellent course, good technical and teoretical knowledge.

par LEE D D

5 nov. 2017

Excellent! It was one of the great assignments I ever had!

par Manuel T

30 janv. 2018

good stuff. Assignments are a little bit too easy though.

par Jiahui B

28 nov. 2017

Very useful course. It helps me finish my course project.

par Y. N

11 janv. 2023

Good course. Covers both concepts and practical aspects.

par Ruihua G

8 juil. 2019

this course provided a overview of the network analysis.

par Jiefei W

11 avr. 2020

Practiced with what was covered in the 1th~3rd courses.

par Abdul N M

12 mars 2019

Gave me a very good understanding of the basic concepts

par Manuel V

16 oct. 2018

in my opinon, the best of the specialization. thank you

par Maryanne K

4 mai 2020

Outstanding explanation of concepts. Highly recommend.

par Steven G

10 nov. 2019

Excellent course. Interesting content and well taught.

par Su L

30 mars 2020

enjoyed it very much, thank you Professor and mentors

par Nishal

4 déc. 2019

Good information, at a good pace, explained very well

par Luiz H C d S

1 janv. 2022

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

par PURNA C R . K

22 juil. 2020

Indepth knowledge about network analysis. Thank you


21 oct. 2019

the very best course it is very helpful and useful

par Lam H

2 déc. 2022

Helpful course with rich material for my learning


11 juin 2020

Very useful course especially for the beginners .

par Jun W

19 août 2018

A very interesting course, beyond my expectation.