Learner Reviews & Feedback for Applied Social Network Analysis in Python by University of Michigan
About the Course
Top reviews
JA
Nov 22, 2020
Great introductory course on graph theory using Networkx. The instructor goes through each algorithm with step-by-step examples, and gives relevant examples at the end of each topic.
VS
Jul 15, 2018
Lectures are very well-designed. Especially, the assignment of week 4 is too good, that give me an overview of how we can apply machine learning in network analysis.
451 - 455 of 455 Reviews for Applied Social Network Analysis in Python
By MENAGE
•Feb 22, 2021
Aimerais avoir plus de temps et de conseils pour bien réussir..
By Natasha D
•Dec 5, 2019
The lectures and first three assignment are extremely superficial. Mostly they throw a bunch of definitions of metrics at you, give you some one-liners that will calculate specific metrics, then ask you to spit back those one liners (essentially no discussion of applications, etc). Then the fourth and final assignment is an interesting application of what you've learned but the grader is a NIGHTMARE. It is super buggy and your true task is to learn how the grader works, not how to write code and apply what you've learned about data science. I would not recommend this course unless you need it to finish the specialization.
By Moustafa S
•Aug 19, 2020
not usefull course, out dated materials and it doesn't work on new library, what's the use of it if it doesn't work anymore and noone uses it?
By Sonam A
•Dec 18, 2019
not interesting.
By #TEH Z Y
•Aug 2, 2023
Too difficult