Learner Reviews & Feedback for Applied Social Network Analysis in Python by University of Michigan

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.

Very cool knowledge!! Began the specialization not knowing that this kind of study existed, and it was awesome learning about it!!

Great intro to networks; last assignment is challenging but is a good opportunity to put everything together (python+ML+Network).

The concept and assignment are excellent .This lectures gives good idea about usage networkx . Overall the course is excellent .

This is a very informative course in the property of networks and the feature extraction you can obtain out of this. Excellent

Excelente course, the instructor really meks you undestand with the right structure and having meaningfull in video quizes

One of the best courses on social network analysis. Professor Daniel Romero did an excellent job explaining the contents.

It was great introducing the networks, but I found most of the assignments too straightforward except for the last weeks.