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.
401–423 из 423 отзывов о курсе Applied Social Network Analysis in Python
автор: Chethan S L
•2 окт. 2019 г.
Excellent
автор: Xing W
•3 дек. 2017 г.
Not bad
автор: shubham z
•13 июня 2020 г.
good
автор: Mallikarjuna R Y
•5 мая 2020 г.
good
автор: V B
•30 дек. 2020 г.
NA
автор: Alexandra C
•28 февр. 2021 г.
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
автор: Daniel B
•18 дек. 2020 г.
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 On top of that, the course uses the outdated networkx 1.11, while 2.0 has been out for over three years.
автор: Jeremy .
•1 янв. 2021 г.
Some of the assignment organization could have been better, but otherwise the information was rock solid!
автор: Jenny z
•1 дек. 2020 г.
better if TA could prepare projects with updated versions of libraries
автор: József V
•4 мая 2018 г.
Useful but weaker comparing to Pandas or Scikit courses.
автор: Sara C
•16 мая 2018 г.
i like the way that lecturer teach.
автор: Leon V
•8 окт. 2017 г.
it was okay, 3.5 really
автор: DW J
•6 апр. 2018 г.
hm..
автор: Afreen F
•7 февр. 2021 г.
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.
автор: MENAGE
•22 февр. 2021 г.
Aimerais avoir plus de temps et de conseils pour bien réussir..
автор: Natasha D
•5 дек. 2019 г.
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.
автор: Hiroki T
•26 мар. 2021 г.
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.
автор: Moustafa S
•19 авг. 2020 г.
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?
автор: A P
•5 июля 2021 г.
All assignments and lectures are outdated and will not work with current versions of Python.
автор: Christopher S
•8 мая 2021 г.
Vague, little explanation, I can get a better education on Udemy
автор: Sonam A
•18 дек. 2019 г.
not interesting.
автор: David P
•7 февр. 2022 г.
Obsolete course
автор: José T
•27 июля 2021 г.
Not updated.
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