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
热门审阅
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.
226 - Applied Social Network Analysis in Python 的 250 个评论(共 456 个)
创建者 Behzad M
•Jan 19, 2020
Very interesting, I have learnt a lot.
创建者 D. S
•Oct 21, 2019
Very well organized course. Thank you!
创建者 Tina L
•Dec 16, 2017
Good Elaboration. Very clear concepts.
创建者 Negin M
•Oct 18, 2024
Great introduction to social networks
创建者 Esteban L C
•Dec 18, 2020
Fast shipping. Item as described. A++
创建者 Ivan S
•Jul 7, 2020
Was an Intresting and awesome course
创建者 chenshenyou
•Apr 13, 2020
very nice graph training, good work!
创建者 Mike H
•May 30, 2019
Great course with clear instructions
创建者 Sangeeth S
•Sep 5, 2020
Very interesting course! Loved it!
创建者 Kristin A
•Feb 15, 2019
A nice intro to networks in Python
创建者 Victor d l C
•Feb 15, 2021
This specialization is amazing!!!
创建者 Guo X W
•Jul 1, 2020
Fantastic, well-explained course!
创建者 Jose A P L
•Apr 10, 2019
Buen curso para empezar con redes
创建者 Jhon I
•Nov 12, 2017
I have only say, really amazing.
创建者 Valikhan B
•Jun 28, 2020
Daniel Romero is a great speaker
创建者 Igor K
•Aug 22, 2019
Nice course, worth to listen to
创建者 PREMAL M
•Feb 24, 2019
Excellent delivery and content.
创建者 David M
•Oct 9, 2018
Excellent course and professor!
创建者 Allyson D d L
•Feb 23, 2022
Amazing course. I love graphs.
创建者 Georges B
•Oct 13, 2021
Best one of the Specialization
创建者 Armand L
•Oct 28, 2018
Hard but instructive course !
创建者 Tian L
•Aug 24, 2019
a great introductory course.
创建者 Ayon B
•Nov 19, 2018
Nice course. Well presented.
创建者 David K
•May 7, 2018
Amazing class. I loved this.
创建者 Hemalatha N
•Dec 8, 2017
Good intro to using networkx