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.
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.
автор: Dhananjai S•
11 июня 2019 г.
One of the best courses on social network analysis. Professor Daniel Romero did an excellent job explaining the contents.
автор: Varga I K•
9 мар. 2019 г.
It was great introducing the networks, but I found most of the assignments too straightforward except for the last weeks.
автор: Mile D•
20 дек. 2017 г.
Excellent explanations and examples. Recommended text to read was also very helpful. Thanks for providing this course!!!
автор: Sarah H H•
3 июня 2019 г.
i found this course to be fun and straightforward. The assignments were directly aligned to instruction. Great course!
автор: Christian P•
29 дек. 2019 г.
Excellent, well taught and in-depth programming exercises. I really got my hands into programming with networkx here.
автор: Oscar J O R•
15 окт. 2017 г.
A really good course. Notebooks could be very useful to practice and maybe more exercises(not graded) with real data.
автор: BHAVRAAJ S 1•
4 июня 2020 г.
But why am i not getting certififcate of completion.I need it with tthe course which holds more value than learning
автор: Vladimir B•
17 окт. 2021 г.
Great course. Some of the best assignments I've had the pleasure (and frustration) of doing. This prof is amazing.
автор: Slavisa D•
9 июня 2019 г.
Very helpful, I didn't know anything about graphs, networks modelling and the NetworkX package before this course.
автор: Juan M•
31 мая 2020 г.
Nice, delves on graph theory in quite an intuitive way, with exercises on Python. Can be recommended to a friend
автор: Yunhong H•
23 мар. 2019 г.
Great course. The lectures are taught clearly. The knowledge gained in this course is very useful in real world.
автор: Karamcheti S R H•
9 дек. 2020 г.
Very much satisfied with the course. Explanation is good project is very useful can be shown off in cv/ resume
автор: Iurii S•
16 февр. 2018 г.
A great introduction to network analysis. Assignments are easy, but provide a good first glimpse at the topic.
24 сент. 2017 г.
The best course I had on coursera ever, it really broaden my scope of knowledge. It worth waiting so much time
автор: Phillip L C•
25 дек. 2018 г.
Just the greatest class to sum up what is going on in the crazy network media and using what we have learned.
автор: Yashaswa V•
12 сент. 2021 г.
Intuitive last module of the specialization. Loved the content an could relate to them in practical way too.
автор: Adryan R A•
3 мая 2021 г.
This is one of the most usefull course ive taken. Its really usefull and gave lots of insight about Analysis
автор: Diego T B•
11 дек. 2018 г.
very useful and engaging. A was hoping a very different scope on the course but this approach did very well.
автор: Vivek R N•
31 авг. 2020 г.
Really amazing course. The instructor is really nice and he explained the concepts in a really nice manner.
автор: Fernando M•
31 авг. 2020 г.
Great course. I enjoyed the whole specialization I am very grateful with Coursera and Michigan University.
автор: Daniel B•
2 апр. 2019 г.
Great introduction to social graph analysis, along with a very useful and popular Python package NetworkX.
автор: Edilson S•
25 нояб. 2019 г.
Perfect Course! Exactly what I was looking for to deep my understanding in Graph Theory and Practice!
автор: Michal C•
16 окт. 2017 г.
The course was interesting and valuable . Videos were clear and well organized.
I enjoyed studding it.
автор: César G C•
10 мар. 2022 г.
Great introduction to social network analysis. Well explained lectures and interesting assignments.
26 февр. 2019 г.
The course covered many relevant topics and was very easy to follow and apply to the real world.