Ratings and Reviews for Applied Social Network Analysis in Python

good stuff. Assignments are a little bit too easy though.

The explanations were very really good and clear but not enough to complete the assignments. The assignments were over the top in difficulty. The hardest in the entire course program. That is the only reason I took one star. It was because I felt that the classes did not prepare for the assignments. Or, assignments should have a more clear explanation of the steps to be taken in order to complete them. Definitely we should look for answers ourselves but not being able to clearly understand each step throughout the assignments really limited my research area and increased my frustration.

Good introduction into graphs!

Good course but could be improved with realistic scenarios.

Michigan course everything is excellent. love it

I enjoyed this course. This course is about the basic knowledge in network analysis. I do hope the lecturer can give more knowledge and application in network analysis. (Perhaps holding a series courses of Network Analysis in Python will be very good in the future!)

The material and assignments were great and well aligned. The autograder for the Jupyter Notebooks was finicky at best and resulted in lots of time wasted getting formatting correct.

This is a very informative course in the property of networks and the feature extraction you can obtain out of this. Excellent

Great course. Very good homework assignments, but somewhat on easy side

A very good course to learn about networks. Thanks! The cherry on top was to apply machine learning techniques to predict how the net evolves.