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.
101 - 125 of 455 Reviews for Applied Social Network Analysis in Python
By Atilio T
鈥Mar 22, 2020
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
鈥May 17, 2019
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!
By Vladimir
鈥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.
By Siyang
鈥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!
By Vinicius O
鈥Mar 17, 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.
By David M
鈥Feb 27, 2021
Excellent lecturer, very useful content, assignments were a good level of challenge, particularly the last one which brings it all to life.
By 螕蔚蠋蟻纬喂慰蟼 螝
鈥May 15, 2018
Another must to have lesson from Michigan Univeristy. After completing this lesson the Social Networks will be an analysis challenge.
By Suyash D
鈥Dec 20, 2018
An excellent course that provides a fair knowledge of social networks, the NetworkX package and how to work with networks in Python.
By Luis A G T
鈥Dec 14, 2022
No sab铆a nada de ciencia de datos y aprend铆 un mont贸n. Las actividades son adecuadas y siempre fueron un reto los trabajos finales.
By Kueida L
鈥Sep 4, 2020
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
鈥Jul 9, 2020
Very cool knowledge!! Began the specialization not knowing that this kind of study existed, and it was awesome learning about it!!
By Henri
鈥May 19, 2019
Great intro to networks; last assignment is challenging but is a good opportunity to put everything together (python+ML+Network).
By MARKANTI B S
鈥Sep 21, 2020
The concept and assignment are excellent .This lectures gives good idea about usage networkx . Overall the course is excellent .
By Cameron W
鈥Sep 1, 2022
Really excellent course! Practical programming and network analysis tools along with just enough theory to keep you interested.
By Elias
鈥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
By Shiomar S C
鈥Nov 5, 2019
Excelente course, the instructor really meks you undestand with the right structure and having meaningfull in video quizes
By Dhananjai S
鈥Jun 11, 2019
One of the best courses on social network analysis. Professor Daniel Romero did an excellent job explaining the contents.
By Imre V
鈥Mar 9, 2019
It was great introducing the networks, but I found most of the assignments too straightforward except for the last weeks.
By Mile D
鈥Dec 20, 2017
Excellent explanations and examples. Recommended text to read was also very helpful. Thanks for providing this course!!!
By Sarah H H
鈥Jun 4, 2019
i found this course to be fun and straightforward. The assignments were directly aligned to instruction. Great course!
By Christian P
鈥Dec 30, 2019
Excellent, well taught and in-depth programming exercises. I really got my hands into programming with networkx here.
By Oscar J O R
鈥Oct 15, 2017
A really good course. Notebooks could be very useful to practice and maybe more exercises(not graded) with real data.
By BHAVRAAJ S 1
鈥Jun 4, 2020
But why am i not getting certififcate of completion.I need it with tthe course which holds more value than learning
By Neo P
鈥Oct 17, 2021
Great course. Some of the best assignments I've had the pleasure (and frustration) of doing. This prof is amazing.
By Slavisa D
鈥Jun 10, 2019
Very helpful, I didn't know anything about graphs, networks modelling and the NetworkX package before this course.