Applied Social Network Analysis in Python, University of Michigan
About this Course
Top reviews
By JL
•Sep 24, 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.
By CG
•Sep 18, 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.
167 Reviews
By ABDUL NASIR MUNIRU
•Mar 12, 2019
Gave me a very good understanding of the basic concepts
By Varga Imre Károly
•Mar 09, 2019
It was great introducing the networks, but I found most of the assignments too straightforward except for the last weeks.
By Akash Gupta
•Mar 03, 2019
good
By Aya
•Feb 26, 2019
The course covered many relevant topics and was very easy to follow and apply to the real world.
By PREMAL MEHTA
•Feb 24, 2019
Excellent delivery and content.
By Daniel Wlazło
•Feb 19, 2019
Great course, maybe even the best on this great specialization!
By Agnes He
•Feb 19, 2019
Great course. The lectures are taught clearly.
By Kristin Abkemeier
•Feb 15, 2019
A nice intro to networks in Python
By CMC
•Feb 14, 2019
This is a great course for 2 reasons. The earlier assignments were just difficulty enough to reinforce the lectures. The last assignment was challenging enough to bring the entire specialization to to satisfying close. After finishing assignment 4, I really feel that I can apply the learning from this specialization to real work.
By Martin Huang
•Feb 06, 2019
Great course!
