Отзывы учащихся о курсе Applied Social Network Analysis in Python от партнера Мичиганский университет
О курсе
Лучшие рецензии
NK
2 мая 2019 г.
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
23 сент. 2018 г.
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.
301–325 из 423 отзывов о курсе Applied Social Network Analysis in Python
автор: Pranab d
•17 мар. 2020 г.
awesome
автор: Light0617
•1 июня 2019 г.
great!!
автор: Jeff D
•13 янв. 2021 г.
Thanks
автор: Yoselin A
•8 сент. 2020 г.
Great!
автор: Santosh R
•31 мая 2020 г.
awsome
автор: ZHUOFU L
•31 мар. 2019 г.
Great!
автор: SHREYASHI D
•17 сент. 2020 г.
great
автор: Yash B
•24 мая 2020 г.
great
автор: Muhammad M M
•26 янв. 2020 г.
Good!
автор: Deleted A
•5 дек. 2018 г.
great
автор: Gerardo M C
•17 нояб. 2017 г.
Nice!
автор: Maxerom24
•25 дек. 2021 г.
Best
автор: WANG Y
•28 авг. 2021 г.
good
автор: Ankit K G
•25 окт. 2020 г.
good
автор: Gudimetla v n r
•20 сент. 2020 г.
nice
автор: Murugeswari P
•13 авг. 2020 г.
good
автор: RAGHUVEER S D
•25 июля 2020 г.
good
автор: Heshan L
•17 июля 2020 г.
good
автор: SUTHAHAR P
•2 июня 2020 г.
Good
автор: Hewawitharanage A H
•31 янв. 2020 г.
good
автор: Parul S
•20 апр. 2019 г.
good
автор: Akash G
•3 мар. 2019 г.
good
автор: Deleted A
•17 авг. 2018 г.
Wow
автор: M A
•11 мая 2019 г.
ok
автор: David C
•21 сент. 2017 г.
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.
Coursera Footer
