May 03, 2019
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.
Sep 24, 2018
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.
Dec 29, 2017
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.
創建者 Teo S•
Oct 22, 2017
Best course in the series. The lecturer managed to explain difficult concepts very clearly through its excellent slides and words. Thank you!
創建者 Vinicius d A O•
Mar 16, 2020
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.
創建者 Γεώργιος Κ•
May 15, 2018
Another must to have lesson from Michigan Univeristy. After completing this lesson the Social Networks will be an analysis challenge.
創建者 Suyash D•
Dec 19, 2018
An excellent course that provides a fair knowledge of social networks, the NetworkX package and how to work with networks in Python.
創建者 Kueida L•
Sep 03, 2020
The quizzes were not giving you free points like other online courses. They were challenging. The assignments were well-structured.
創建者 Thales A K N•
Jul 08, 2020
Very cool knowledge!! Began the specialization not knowing that this kind of study existed, and it was awesome learning about it!!
May 19, 2019
Great intro to networks; last assignment is challenging but is a good opportunity to put everything together (python+ML+Network).
創建者 MARKANTI B S•
Sep 21, 2020
The concept and assignment are excellent .This lectures gives good idea about usage networkx . Overall the course is excellent .
Jan 11, 2018
This is a very informative course in the property of networks and the feature extraction you can obtain out of this. Excellent
創建者 Shiomar S C•
Nov 05, 2019
Excelente course, the instructor really meks you undestand with the right structure and having meaningfull in video quizes
Jun 11, 2019
One of the best courses on social network analysis. Professor Daniel Romero did an excellent job explaining the contents.
創建者 Varga I K•
Mar 09, 2019
It was great introducing the networks, but I found most of the assignments too straightforward except for the last weeks.
創建者 Mile D•
Dec 20, 2017
Excellent explanations and examples. Recommended text to read was also very helpful. Thanks for providing this course!!!
創建者 Sarah H H•
Jun 03, 2019
i found this course to be fun and straightforward. The assignments were directly aligned to instruction. Great course!
創建者 Christian P•
Dec 29, 2019
Excellent, well taught and in-depth programming exercises. I really got my hands into programming with networkx here.
創建者 Oscar J O R•
Oct 15, 2017
A really good course. Notebooks could be very useful to practice and maybe more exercises(not graded) with real data.
創建者 Bhavraaj S•
Jun 04, 2020
But why am i not getting certififcate of completion.I need it with tthe course which holds more value than learning
創建者 Slavisa D•
Jun 09, 2019
Very helpful, I didn't know anything about graphs, networks modelling and the NetworkX package before this course.
創建者 Juan M•
May 31, 2020
Nice, delves on graph theory in quite an intuitive way, with exercises on Python. Can be recommended to a friend
創建者 Yunhong H•
Mar 23, 2019
Great course. The lectures are taught clearly. The knowledge gained in this course is very useful in real world.
創建者 Iurii S•
Feb 17, 2018
A great introduction to network analysis. Assignments are easy, but provide a good first glimpse at the topic.
Sep 24, 2017
The best course I had on coursera ever, it really broaden my scope of knowledge. It worth waiting so much time
創建者 Phillip L C•
Dec 26, 2018
Just the greatest class to sum up what is going on in the crazy network media and using what we have learned.
創建者 Diego T B•
Dec 11, 2018
very useful and engaging. A was hoping a very different scope on the course but this approach did very well.