This course contains many important concepts of Graph Theory and Network Analysis. The explanation is clear and neat. Also, the assignments are fun and comprehensible.

Very comprehensive course for introduction of social network analysis. Best part is every concept is covered in detail and how to implement using networkx library.

I found it hard sometimes to understand the concepts but this gave me quite an introduction on social network analysis and encouraged me to learn more about them.

Great explanations. The instructor is awesome and has good visual material. In-video quizzes keep you engaged during the lecture. I am very happy with the course.

I really appreciate that you offer me such a great specialization of courses.Since I've finished the final course eventually, I should offer my gratitude to you.

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.

Very nice platform to learn & enhance skill. Thanks to Prof. and team.. Also thanks to university and coursera platform for providing such a big platform to us.

Great introductory course to graph theory! Dr. Romero is one of the most engaging professors that I've had, both in-person and online. The assignments are fun.

Really helpful. Get a basic idea of the social network and how to use python to analyze it. Will definitely dig deeper and see how it could relate to my work .

Excellent course to learn Network Analysis using Python. Thank you to the instructor and whole team behind making this course for providing such good content.

Clear explanation. Very well taught course. Will be good if the course also teaches us how to extract social network information from social media sites.

A nice short course on Networks. This was one of the best courses I've taken on Coursera.

The course content, instructor and assignments are all amazing.

All over the course is very relevant to what is a need in industry. Very nice video lectures, to the point and crisp. Material is quite informative too.

An excellent course which is well planned and executed! If you're following the specialization, it's a welcome relief after the text analysis course.

Great course! Really well explained with intuitive examples and great illustrations. At the end there is an interesting but challenging assignment.

Great lecturer, comprehensive material and unlike other courses in this specialisation, actually prepares you well for the assignments and quizzes.

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

Very good course! I was afraid going into this after going the rather bad "Text Mining". However, it was super fun, well done and informative!

A very good course to learn about networks. Thanks!

The cherry on top was to apply machine learning techniques to predict how the net evolves.

Best course in the series. The lecturer managed to explain difficult concepts very clearly through its excellent slides and words. Thank you!

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.

Excellent lecturer, very useful content, assignments were a good level of challenge, particularly the last one which brings it all to life.

Another must to have lesson from Michigan Univeristy. After completing this lesson the Social Networks will be an analysis challenge.

An excellent course that provides a fair knowledge of social networks, the NetworkX package and how to work with networks in Python.

The quizzes were not giving you free points like other online courses. They were challenging. The assignments were well-structured.