Great intro course to graph theory and graph analysis using applied python networkx library. The course covers a number of theoretical topics. Would recommend using a local notebook along with the lectures.

Great course! Only one note: the online notebooks use an old version of networkx (v1.11), which is incompatible with the newer v2.2. Therefore, some trickery is required to read pickled networks locally...

Excellent course. Lecturer clearly explains network analysis terms and algorithms with examples, and then shows how they are implemented by the Python networkX library. The assignments exercise their use.

Very good course! I've learned a lot both in theory and practical aspects. The final assignment worth to put all together with the skills learned in the other 4 courses of the specialization. Great job!

This course is a excellent introduction to social network analysis. Learnt a lot about how social network works. Anyone learning Machine Learning and AI should definitely take this course. It's good.

Excellent tour through the basic terminology and key metrics of Graphs, with a lot of help from the networkX library that simplifies many, otherwise tough, tasks, calculations and processes.

I loved this course. It was well taught and had excellent problem sets and quizzes to internalize the learning. The material is very relevant to the market today. I highly recommend it.

Really enjoyed the mathematical component of this course. It was fun to see how you could connect the graph theoretical components to the machine learning concepts from earlier courses.

I have never imagined such detailed analysis can be done on a network, nx in python is really powerful package with so many powerful functions that can do ample of analysis at a whim.

Great introductory course on graph theory using Networkx. The instructor goes through each algorithm with step-by-step examples, and gives relevant examples at the end of each topic.

Very helpful courses. I was able to review and got much better at some things I already knew like data visualization and was able to explore some new areas like network analysis.

Basic yet informative course. The videos are well paced and the presenter is instructive. The exercises are well made, putting more enphasis on what was learned in the videos.

Interesting material and easy to follow. Assignments and quizzes were sufficiently challenging, but not too difficult that I spent entire weekends troubleshooting my code.

It's rare to find an amazing course in network analysis online, and I'm very glad to have taken this course and learn the art of network analysis for research purposes.

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.