ミシガン大学（University of Michigan） による Applied Social Network Analysis in Python の受講者のレビューおよびフィードバック
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人気のレビュー
NK
2019年5月2日
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
2018年9月23日
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.
Applied Social Network Analysis in Python： 401 - 425 / 425 レビュー
by TEJASWI S
•2019年8月2日
Good course
by Andreas C
•2017年12月2日
quite good
by Chethan S L
•2019年10月2日
Excellent
by Xing W
•2017年12月3日
Not bad
by shubham z
•2020年6月13日
good
by Mallikarjuna R Y
•2020年5月5日
good
by V B
•2020年12月30日
NA
by Alexandra C
•2021年2月28日
Videos are very distracting as there are many cutscene from the text to the instructor's face which is very disrupting for the flow of the lecture. Maybe overlaying his face on a small window on the corner will be better
by Daniel B
•2020年12月18日
This course feels more like an API summary of networkx rather than a real course on social network analysis. On top of that, the course uses the outdated networkx 1.11, while 2.0 has been out for over three years.
by Jeremy .
•2021年1月1日
Some of the assignment organization could have been better, but otherwise the information was rock solid!
by Jenny z
•2020年12月1日
better if TA could prepare projects with updated versions of libraries
by József V
•2018年5月4日
Useful but weaker comparing to Pandas or Scikit courses.
by Sara C
•2018年5月16日
i like the way that lecturer teach.
by Leon V
•2017年10月8日
it was okay, 3.5 really
by DW J
•2018年4月6日
hm..
by Afreen F
•2021年2月7日
Lecture Videos are good but it seems 0 efforts were put in the assessments. The auto-grader is especially a pain and you end up spending LOT of time around trivial issues with the auto-grader.
by MENAGE
•2021年2月22日
Aimerais avoir plus de temps et de conseils pour bien réussir..
by Natasha D
•2019年12月5日
The lectures and first three assignment are extremely superficial. Mostly they throw a bunch of definitions of metrics at you, give you some one-liners that will calculate specific metrics, then ask you to spit back those one liners (essentially no discussion of applications, etc). Then the fourth and final assignment is an interesting application of what you've learned but the grader is a NIGHTMARE. It is super buggy and your true task is to learn how the grader works, not how to write code and apply what you've learned about data science. I would not recommend this course unless you need it to finish the specialization.
by Hiroki T
•2021年3月26日
Python and related libs are SUPER old. Some important codes used in this specialization were duplicated and you cannot get enough explanations even on Google. Moreover, auto-graders have lots of problems. I finished this specialization but I cannot recommend this.
by Moustafa S
•2020年8月19日
not usefull course, out dated materials and it doesn't work on new library, what's the use of it if it doesn't work anymore and noone uses it?
by A P
•2021年7月5日
All assignments and lectures are outdated and will not work with current versions of Python.
by Christopher S
•2021年5月8日
Vague, little explanation, I can get a better education on Udemy
by Sonam A
•2019年12月18日
not interesting.
by David P
•2022年2月7日
Obsolete course
by José T
•2021年7月27日
Not updated.
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