Ratings and Reviews for Applied Social Network Analysis in Python

I thought the content was interesting - but it is so stale, none of the packages work with conventional language semantics. Getting assigments to submit was a major pain, ultimately souring the experience.

I really like the content of the course. What needs to improve is the networkx package is used in the lab. It's an old version with old functions and they are not working sometime.

Negatives: A LOT of poorly explained theory and not many exercises. Many mistakes in the slides and codes, and you needed to find the solutions in the discussions. The Autograder was a bit annoying because sometimes you'd spend 20% of the time getting the right solution to the questions and 80% fitting it so the Autograder would understand it. I had to look for Youtube explanations to do the assignments and quizzes because based on what was explained I either didn't understand it or simply couldn't find it in the source material. Positives: You get a certificate from the University of Michigan.

Its an wonderfull opertunity to learn and analysis in python

Really excellent course! Practical programming and network analysis tools along with just enough theory to keep you interested.

Would have appreciated more theoretic approach even for applied science course, but did like the content & much appreciate staff on being so helpful in forums

great course and specialization! quality of the contents is superb

Very good explantions and lab exercises

the best

Very well put together.