Ratings and Reviews for Applied Social Network Analysis in Python

Well made intro to networkx library and some basic graph concepts. It seems that course material has been done 3 years ago, and has not been touched since. The age is showing bit. For example autograder has small issues which could be fixed to remove lot of frustration and extra work from the studet For example sometimes when returning pandas Series, the autograder requires that it doesn't have a name, but the autograders feedback doesn't give any indication about this. Minus one star because of these. All the courses in Applied Social Network Analysis in Python by University of Michican has this same issue.

Very good course, networks can be used in almost every aspect of a business or market. We learned many ways to represent networks in python, and visualize them. The lecturer was very direct and to the point with his slides and examples; the summaries after each lesson are so useful. I would like the final assignment to be a lilttle more challenging, though.

Lecture Videos are good but it seems 0 efforts were put in the assessments. The auto-grader is especially a pain and you end up spending LOT of time around trivial issues with the auto-grader.

It was really tough for me

Excellent course

Thanks

I enjoyed the classes in this specialization. I felt that I have learned a great deal.

Excellent course with a broad overview of the networks an how python packages can be used for network analysis. There was a nice mix of conceptual sessions along with the usage of networkX for coding assignments. Thanks to UMich for putting this course together !! I put some of the concepts to work right from the day I learnt them. Awesome !!

Amazing Course

Some of the assignment organization could have been better, but otherwise the information was rock solid!