Ratings and Reviews for Applied Social Network Analysis in Python

Excellent presentation, exercise and reading materials. Thank you

it was helpful

Excellent Course

Excellent course. The lecturer explains in a simple way to understand, and exercise are interested to the analysis of social network using python.

awesome

This course was fantastic, with a lot of information and tips important for me. The instructor is very focused and I have confidence on him.

Daniel Romero is easily the best instructor in this specialization, beating all his more senior colleagues in communicating knowledge to learners. I especially liked his methodical approach to telling the whole story: big picture intuition, formal definitions, Python examples and practical applications. The course sets you up with a solid enough baseline in networks to be able to continue learning on your own. It is a big plus that the final assignment is really pulling together your knowledge from most courses in this specialization (there is no visualization required in the final assignment). My only complaint is that the course seems like somewhat of an afterthought to bring the course count to 5 in the specialization. The content in week 4 is particularly short. I would rate this course 4 stars on its own, but given how it lines up in the specialization it is an easy 5-star.

The course provides a great introduction to graph analytics, I consider that the social network applications are very sparse or missing in action altogether. Nonetheless, overall great content and practice of extracting information from networks with Python.

Clear, concise, well organised and structured.

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