Ratings and Reviews for Applied Social Network Analysis in Python

the very best course it is very helpful and useful

Excellent

Good starting point for those who want ro learn social network analysis.

I learned a lot of things that I can apply to my line of work.

a great introductory course.

Nice course, worth to listen to

An excellent course

For a coding heavy course, why doesn't the instructor just upload the code used in slides as a Jupyter Notebook? This would save A LOT OF TIME and frustration. Right now, I have to pause the video to copy the code AND write my own notes and it wastes so much time. Not to mention, you can easily be prone to writing wrong syntax when you're trying to keep up so fast, and then you run the code chunk and it doesn't work and you have to go back to that point in the video. It's a simple staple that I would have expected in a UMich course. Also, they don't show how to create networks from pre-existing data, which is how you will usually work in the real-world

Good course with a nice and clean talk professor. Perhaps I miss some real-world cases in the assignments.

The specialization for Applied Data science started strong, with engaging exercises, good instruction, and good recommendations for additional reading and resources. As the specialization continued, the courses seemed to get "lazy", and the course topics became more abstract and less applied. After going through this specialization, I would not recommend this to someone if I could find a better program through edX or another coursera offering.