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.
126–150 из 423 отзывов о курсе Applied Social Network Analysis in Python
автор: Aaya A
•21 окт. 2021 г.
Very good, clear lectures, with assignments that actually test application of knowledge learned
автор: Landon M L
•24 окт. 2017 г.
Good instruction because the explanation with some good examples that improve my comprehension.
автор: Wenlei Y
•23 нояб. 2019 г.
This course really opens my eye, providing a new standpoint from which we visualize "network".
автор: Ivan S F
•2 июня 2019 г.
Very very good course. It provides a brief but comprehensive introduction to network analysis.
автор: Rongshun Z
•21 дек. 2021 г.
A very good combination between ML and the practical usecases. Thanks a lot for the course.
автор: Benjamin R
•9 июня 2018 г.
Very good insights into social network analysis. I particularly liked the final assignment.
автор: Rocco C
•9 окт. 2017 г.
Very interesting course, thank you. The assignments could have been a bit more challenging.
автор: Long T B
•27 окт. 2020 г.
I really appreciate Coursera for offering this course. It is very valuable to my research.
автор: Estella C
•30 июля 2020 г.
Very practical course! Explained all the concepts very clear and with meaning examples.
автор: David T
•4 янв. 2021 г.
I enjoyed the classes in this specialization. I felt that I have learned a great deal.
автор: Parikshit A D
•3 мая 2020 г.
Best Course I have seen, learnt a lot about something to which I was completely new!!!
автор: Мирзабекян А В
•9 авг. 2018 г.
One of the most interesting and challenging courses in specialization, in my opinion.
автор: Hiroki U
•30 нояб. 2020 г.
Assignment of week4 was tough, but interesting.
Thanks for making such a good course.
автор: Reed R
•2 мар. 2018 г.
Well taught and in a field which is not covered by many other data science curricula
автор: Rajesh R
•7 февр. 2018 г.
Excellent course to understand various networking principles and analyszng the same.
автор: Carlos S
•8 окт. 2017 г.
Great introduction to network theory and applications using Python Networkx library.
автор: Krzysztof K
•5 нояб. 2020 г.
Very informative and useful content was presented in very easy to understand way.
автор: Ricardo J M S
•1 июня 2020 г.
It is the best course of the 5 courses of the specialitation. I strongly recommend
автор: Ferdinand C
•13 авг. 2020 г.
Brilliant instructor! I really learned a great deal from this course. Thank you
автор: Nicolás S
•3 янв. 2021 г.
Nice topic to learn! Good materiales and tools were providade in thsi course
автор: Vighneshbalaji
•28 апр. 2020 г.
Very Useful. I learned a lot. Thanks to Coursera and University of Michigan
автор: Chanaka S
•1 авг. 2020 г.
Lecture is God To Me The Person Who has Good Knowledge then easy to study
автор: Amila R
•30 сент. 2019 г.
Good starting point for those who want ro learn social network analysis.
автор: Roberto L L
•26 мар. 2019 г.
It was a wonderful course, linked network's models and machine learning.
автор: 高宇
•2 дек. 2018 г.
Very Nice Coursera! It lead me to reknow the relations among the worrld.
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