Very good Course.

nicely explained

very good course

Great Course!

Tough course

Satisfactory

good teacher

Good course

quite good

Excellent

Not bad

good

good

NA

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

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 On top of that, the course uses the outdated networkx 1.11, while 2.0 has been out for over three years.

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.