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.
It was an easy introductory course that is well structured and well explained. Took me roughly a weekend and I thoroughly enjoyed it. Hope the professor follows up with more advanced material.
By Lutz H•
Great course! Really well explained with intuitive examples and great illustrations. At the end there is an interesting but challenging assignment.
By Devon H•
Great lecturer, comprehensive material and unlike other courses in this specialisation, actually prepares you well for the assignments and quizzes.
By Atilio T•
Excellent course. The lecturer explains in a simple way to understand, and exercise are interested to the analysis of social network using python.
By Vincenzo T•
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.
By Teo S•
Best course in the series. The lecturer managed to explain difficult concepts very clearly through its excellent slides and words. Thank you!
By Vinicius d A O•
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.
By Γεώργιος Κ•
Another must to have lesson from Michigan Univeristy. After completing this lesson the Social Networks will be an analysis challenge.
By Suyash D•
An excellent course that provides a fair knowledge of social networks, the NetworkX package and how to work with networks in Python.
By Kueida L•
The quizzes were not giving you free points like other online courses. They were challenging. The assignments were well-structured.
By Thales A K N•
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).
By MARKANTI B S•
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
By Shiomar S C•
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.
By Varga I K•
It was great introducing the networks, but I found most of the assignments too straightforward except for the last weeks.
By Mile D•
Excellent explanations and examples. Recommended text to read was also very helpful. Thanks for providing this course!!!
By Sarah H H•
i found this course to be fun and straightforward. The assignments were directly aligned to instruction. Great course!
By Christian P•
Excellent, well taught and in-depth programming exercises. I really got my hands into programming with networkx here.
By Oscar J O R•
A really good course. Notebooks could be very useful to practice and maybe more exercises(not graded) with real data.
By Bhavraaj S•
But why am i not getting certififcate of completion.I need it with tthe course which holds more value than learning
By Slavisa D•
Very helpful, I didn't know anything about graphs, networks modelling and the NetworkX package before this course.
By Juan M•
Nice, delves on graph theory in quite an intuitive way, with exercises on Python. Can be recommended to a friend
By Yunhong H•
Great course. The lectures are taught clearly. The knowledge gained in this course is very useful in real world.