Learner Reviews & Feedback for Applied Social Network Analysis in Python by University of Michigan
About the Course
Top reviews
L
Aug 22, 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.
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.
226 - 250 of 455 Reviews for Applied Social Network Analysis in Python
By Behzad M
•Jan 19, 2020
Very interesting, I have learnt a lot.
By D. S
•Oct 22, 2019
Very well organized course. Thank you!
By Tina L
•Dec 16, 2017
Good Elaboration. Very clear concepts.
By Negin M
•Oct 18, 2024
Great introduction to social networks
By Esteban L C
•Dec 18, 2020
Fast shipping. Item as described. A++
By Ivan S
•Jul 7, 2020
Was an Intresting and awesome course
By chenshenyou
•Apr 13, 2020
very nice graph training, good work!
By Mike H
•May 30, 2019
Great course with clear instructions
By Sangeeth S
•Sep 5, 2020
Very interesting course! Loved it!
By Kristin A
•Feb 15, 2019
A nice intro to networks in Python
By Victor d l C
•Feb 15, 2021
This specialization is amazing!!!
By Guo X W
•Jul 1, 2020
Fantastic, well-explained course!
By Jose A P L
•Apr 10, 2019
Buen curso para empezar con redes
By Jhon I
•Nov 12, 2017
I have only say, really amazing.
By Valikhan B
•Jun 28, 2020
Daniel Romero is a great speaker
By Igor K
•Aug 23, 2019
Nice course, worth to listen to
By PREMAL M
•Feb 24, 2019
Excellent delivery and content.
By David M
•Oct 9, 2018
Excellent course and professor!
By Allyson D d L
•Feb 23, 2022
Amazing course. I love graphs.
By Georges B
•Oct 13, 2021
Best one of the Specialization
By Armand L
•Oct 28, 2018
Hard but instructive course !
By Tian L
•Aug 24, 2019
a great introductory course.
By Ayon B
•Nov 20, 2018
Nice course. Well presented.
By David K
•May 8, 2018
Amazing class. I loved this.
By Hemalatha N
•Dec 8, 2017
Good intro to using networkx