学生对 University of Michigan 提供的 Applied Social Network Analysis in Python 的评价和反馈
课程概述
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CG
Sep 17, 2017
Excellent tour through the basic terminology and key metrics of Graphs, with a lot of help from the networkX library that simplifies many, otherwise tough, tasks, calculations and processes.
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.
451 - Applied Social Network Analysis in Python 的 456 个评论(共 456 个)
创建者 Afreen F
•Feb 7, 2021
Lecture Videos are good but it seems 0 efforts were put in the assessments. The auto-grader is especially a pain and you end up spending LOT of time around trivial issues with the auto-grader.
创建者 MENAGE
•Feb 22, 2021
Aimerais avoir plus de temps et de conseils pour bien réussir..
创建者 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.
创建者 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?
创建者 Sonam A
•Dec 18, 2019
not interesting.
创建者 #TEH Z Y
•Aug 1, 2023
Too difficult