Ratings and Reviews for Applied Social Network Analysis in Python

Going into this course, I was really disappointed that I had to take this course for a Data Science Specialization because at a skin-deep level it seemed very irrelevant, and frankly I was at that state of mind until week 4 of this course. There are several reasons why I'm rating this course 2 out of 5 stars: 1) The content of the first three weeks were just informational and should have been covered in one or two weeks. 2) Homework assignments were not challenging at all. 90% of the questions were one-liners and required simply calling the methods of networkx that was discussed. This course would benefit by homework assignments that had 1-2 problems that required us to solve real-life problems from scratch, rather than ONLY calling networkx methods. 3) There was no discussion on how to get network data. We were just given all this magical data about how relationship scores between employees and future connections between employees... How am I supposed to get that in real life?? Some problems asking us to make a network would've been valuable. 4) More time should have been spent on prediction and other advanced topics, at least another week to bring the "Applied" into "Applied Social Network Analysis." 5) I really enjoyed the professor's teaching style. He explained concepts well and had great examples during lectures.

Excellent course!

Excellent explanations and examples. Recommended text to read was also very helpful. Thanks for providing this course!!!

Good Elaboration. Very clear concepts.

Good intro to using networkx

The last assigment is really interesting, all the others are really easy

Not bad

quite good

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

Very good class. The lecturer is amazing!! The quizzes help you understand the concepts. The assignments are a little basic though. Overall you learn a great deal.