Ratings and Reviews for Applied Social Network Analysis in Python

nice course with good content in quizzes and assignments. The last assignment was great and very practical (well framed question, which uses ML algorithms to predict node attributes and linkage using various network measures as features). Overall a pretty much useful course using graph theory and a practical course. Most of the assignments are concentrated on how real world problems could be? The centrality measures are explained beautifully. The module four is pretty much the heart of this course.

Good basic course, well paced. I liked the instructor. Weekly assignments fair, some tougher than others. Occasionally finicky Auto grader a bit like artillery, need to send a couple of rounds over to home in on target.

Wonderful course with plenty of amazing knowledge about Graph and Network that I have never been approached. After this course, I have several skills to apply to my job. I truly appreciate the teachers, TA, and all people who contributed to this course.

It is a great course

Maybe I was getting used to the grader, and getting better at Python, but I found this the least frustrating of the specialisation, with a lot less time wasted on grader issues and the like. Its a good general introduction to the theory, with some good exercises which combine network analysis and machine learning. Like all of these classes, it is getting a little long in the tooth (2016, so a good four years old now, in a very fastmoving field), and it would be nice if it was updated a little, but given that its basic stuff, it is still very relevant. It would also have been nice to have had a challenging, bring it all together, project at the end of this, but I guess its my job to find one now!

Very good course.

Excellent!

Enjoyed the whole course!

Very interesting course! Loved it!

Really hard but very interesting.