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.
교육 기관: Slavisa D•
Jun 09, 2019
Very helpful, I didn't know anything about graphs, networks modelling and the NetworkX package before this course.
교육 기관: Yunhong H•
Mar 23, 2019
Great course. The lectures are taught clearly. The knowledge gained in this course is very useful in real world.
교육 기관: Iurii S•
Feb 17, 2018
A great introduction to network analysis. Assignments are easy, but provide a good first glimpse at the topic.
교육 기관: Darren•
Sep 24, 2017
The best course I had on coursera ever, it really broaden my scope of knowledge. It worth waiting so much time
교육 기관: 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.
교육 기관: 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.
교육 기관: Daniel B•
Apr 02, 2019
Great introduction to social graph analysis, along with a very useful and popular Python package NetworkX.
교육 기관: EDILSON S S O J•
Nov 25, 2019
Perfect Course! Exactly what I was looking for to deep my understanding in Graph Theory and Practice!
교육 기관: Michal C•
Oct 16, 2017
The course was interesting and valuable . Videos were clear and well organized.
I enjoyed studding it.
교육 기관: Aya•
Feb 26, 2019
The course covered many relevant topics and was very easy to follow and apply to the real world.
교육 기관: Landon M L•
Oct 25, 2017
Good instruction because the explanation with some good examples that improve my comprehension.
교육 기관: Wenlei Y•
Nov 23, 2019
This course really opens my eye, providing a new standpoint from which we visualize "network".
교육 기관: Ivan S F•
Jun 02, 2019
Very very good course. It provides a brief but comprehensive introduction to network analysis.
교육 기관: Benjamin R•
Jun 09, 2018
Very good insights into social network analysis. I particularly liked the final assignment.
교육 기관: Rocco C•
Oct 09, 2017
Very interesting course, thank you. The assignments could have been a bit more challenging.
교육 기관: Parikshit A D•
May 03, 2020
Best Course I have seen, learnt a lot about something to which I was completely new!!!
교육 기관: Мирзабекян А В•
Aug 09, 2018
One of the most interesting and challenging courses in specialization, in my opinion.
교육 기관: Reed R•
Mar 02, 2018
Well taught and in a field which is not covered by many other data science curricula
교육 기관: Rajesh R•
Feb 08, 2018
Excellent course to understand various networking principles and analyszng the same.
교육 기관: Carlos S•
Oct 08, 2017
Great introduction to network theory and applications using Python Networkx library.
교육 기관: Vighneshbalaji•
Apr 28, 2020
Very Useful. I learned a lot. Thanks to Coursera and University of Michigan
교육 기관: Amila R•
Sep 30, 2019
Good starting point for those who want ro learn social network analysis.
교육 기관: Roberto L L•
Mar 26, 2019
It was a wonderful course, linked network's models and machine learning.
교육 기관: 高宇•
Dec 02, 2018
Very Nice Coursera! It lead me to reknow the relations among the worrld.
교육 기관: Thaweedet•
Aug 16, 2018
Great, You will to learn how to develop feature for social network data