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.
153 Reviews
By Nikolay Stoychev
•Jan 02, 2019
The course and the tutor are great.
I learned how to create and manage network graphs using python with networkx. I was really satisfied from the last week assignment when I had to work with real-life example plus machine learning classifier.
By Sagar
•Dec 29, 2018
Grate for solving network analytics issues
By Phillip Lee Chrisman
•Dec 26, 2018
Just the greatest class to sum up what is going on in the crazy network media and using what we have learned.
By Suyash Dewangan
•Dec 19, 2018
An excellent course that provides a fair knowledge of social networks, the NetworkX package and how to work with networks in Python.
By Robert J King
•Dec 19, 2018
The course starts off a bit slow but gets you used to the NetworkX module. The last exercise is a pretty neat culmination of the this course and specialization. It would have been cool for it to also involve text mining, but I enjoyed it and the course in general.
By Michael K.
•Dec 17, 2018
Great job!
By Arpit Maheshwari
•Dec 15, 2018
very good course
By Diego Trujillo Bedoya
•Dec 11, 2018
very useful and engaging. A was hoping a very different scope on the course but this approach did very well.
By Bart T Cubrich
•Dec 10, 2018
Great course! Love the instructor. Good background in networks, while sticking to the applied side of things.
By Wei Wu
•Dec 09, 2018
This is by far my favorite Coursera course - well organized contents and intuitive example!
