Learner Reviews & Feedback for Applied Social Network Analysis in Python by University of Michigan
About the Course
Top reviews
NK
May 3, 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.
JL
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.
326 - 350 of 455 Reviews for Applied Social Network Analysis in Python
By Light0617
•Jun 1, 2019
great!!
By Lê N K H
•Nov 21, 2022
Great!
By Jeff D
•Jan 13, 2021
Thanks
By Yoselin A
•Sep 9, 2020
Great!
By Santosh R
•May 31, 2020
awsome
By ZHUOFU L
•Apr 1, 2019
Great!
By SHREYASHI D
•Sep 17, 2020
great
By Yash B
•May 24, 2020
great
By Muhammad M M
•Jan 27, 2020
Good!
By Deleted A
•Dec 5, 2018
great
By Gerardo M C
•Nov 18, 2017
Nice!
By Maxerom24
•Dec 25, 2021
Best
By WANG Y
•Aug 29, 2021
good
By Ankit K G
•Oct 25, 2020
good
By Gudimetla v n r
•Sep 20, 2020
nice
By Murugeswari P
•Aug 13, 2020
good
By RAGHUVEER S D
•Jul 25, 2020
good
By Heshan L
•Jul 17, 2020
good
By SUTHAHAR P
•Jun 2, 2020
Good
By Hewawitharanage A H
•Feb 1, 2020
good
By Parul S
•Apr 20, 2019
good
By Akash G
•Mar 3, 2019
good
By Deleted A
•Aug 18, 2018
Wow
By Magdiel A
•May 12, 2019
ok
By David C
•Sep 21, 2017
This was, in general, a good course. The instructor was very clear in what he presented, and gave a good overview of Social Network Analysis. However, there were several issues with the AutoGrader that did not get fixed until late in the course and the PowerPoint slides for the lectures were also very late in getting posted (they were not available for most of the programming assignments). So, I think this course was launched a little early. Still, these are problems that you might expect to see the first time a course is taught and should not affect future students.
The bigger complaint I have on the course was that it was a very gentle introduction of the topic with only a quick overview of the subject. The lectures themselves concentrated more on a litany of various measures and metrics to characterize networks and could have benefited from a broader examination of real networks in the real world. One of the most interesting topics was a very quick overview of plotting for network diagrams, but this was never followed up with a programming assignment or other aspects to give us practice using the techniques described. This course would benefit from 2-4 additional weeks of material and more programming assignments, IMO. The network graphing lecture, for example, could have been reinforced with a peer-graded assignment to have us produce 3 or 4 types of graphs of various networks.
Overall, though, I was pleased with this course and the entire specialization. I would definitely recommend it to others.