Отзывы учащихся о курсе Applied Social Network Analysis in Python от партнера Мичиганский университет

Some of the assignment organization could have been better, but otherwise the information was rock solid!

better if TA could prepare projects with updated versions of libraries

Useful but weaker comparing to Pandas or Scikit courses.

i like the way that lecturer teach.

it was okay, 3.5 really

hm..

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.

Aimerais avoir plus de temps et de conseils pour bien réussir..

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.

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.

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?

All assignments and lectures are outdated and will not work with current versions of Python.

Vague, little explanation, I can get a better education on Udemy

not interesting.

N​ot updated.