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.
автор: Jiaqi d•
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 .
автор: Tarit G•
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.
автор: Soh Y Z•
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.
автор: Avulapati N•
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.
автор: Piyush V•
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.
автор: M J•
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.
автор: Lutz H•
Great course! Really well explained with intuitive examples and great illustrations. At the end there is an interesting but challenging assignment.
автор: Devon H•
Great lecturer, comprehensive material and unlike other courses in this specialisation, actually prepares you well for the assignments and quizzes.
автор: 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.
автор: 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.
Best course in the series. The lecturer managed to explain difficult concepts very clearly through its excellent slides and words. Thank you!
автор: 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.
автор: David M•
Excellent lecturer, very useful content, assignments were a good level of challenge, particularly the last one which brings it all to life.
автор: Γεώργιος Κ•
Another must to have lesson from Michigan Univeristy. After completing this lesson the Social Networks will be an analysis challenge.
автор: Suyash D•
An excellent course that provides a fair knowledge of social networks, the NetworkX package and how to work with networks in Python.
автор: Kueida L•
The quizzes were not giving you free points like other online courses. They were challenging. The assignments were well-structured.
автор: 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).
автор: 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
автор: Shiomar S C•
Excelente course, the instructor really meks you undestand with the right structure and having meaningfull in video quizes
автор: Dhananjai S•
One of the best courses on social network analysis. Professor Daniel Romero did an excellent job explaining the contents.
автор: Varga I K•
It was great introducing the networks, but I found most of the assignments too straightforward except for the last weeks.
автор: Mile D•
Excellent explanations and examples. Recommended text to read was also very helpful. Thanks for providing this course!!!