ミシガン大学（University of Michigan） による Applied Social Network Analysis in Python の受講者のレビューおよびフィードバック

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

very good introductory course for social network analysis using Python.

Great course and and great contents. I really enjoyed the assignments.

The have lot of stuff to learn. It will definitely enhance your skill.

Well structured and quality lecture content with excellent assignments

W​onderful course with very detailed explanations!!! Simply wonderful

Interesting and fun. Daniel's lecturing style is clear and enjoyable.

Awesome course!!! Helped me a lot to get started with graph analysis

Interesting slides and knowledge. e.g. Page rank is super cool!!!!

Good course, may be better if offer more practice and application.

Excellent presentation, exercise and reading materials. Thank you

very clear logic, and will always wrap up at the end of the class

A practical way to learn social network analysis. Great course!

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

A completely new area for me, and a really fascinating course.

Course is much easier to understand that applied text mining.

One of the most awesome course that I have taken on Coursera!

Thanks you so much University of Michigan for Great course

Very interesting , a new point of view for future analysis!

Excellent course, good technical and teoretical knowledge.

Excellent! It was one of the great assignments I ever had!

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

Very useful course. It helps me finish my course project.

this course provided a overview of the network analysis.

Practiced with what was covered in the 1th~3rd courses.