NK
May 2, 2019
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
Sep 23, 2018
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.
By Vinit D
•Jan 16, 2020
Tough course
By Avi R
•Aug 3, 2019
Satisfactory
By Jean E K
•May 18, 2018
good teacher
By TEJASWI S
•Aug 2, 2019
Good course
By Andreas C
•Dec 2, 2017
quite good
By Chethan S L
•Oct 2, 2019
Excellent
By Xing W
•Dec 3, 2017
Not bad
By shubham z
•Jun 13, 2020
good
By Mallikarjuna R Y
•May 5, 2020
good
By V B
•Dec 30, 2020
NA
By Alexandra C
•Feb 28, 2021
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
•Dec 18, 2020
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 On top of that, the course uses the outdated networkx 1.11, while 2.0 has been out for over three years.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 Ying X T
•Mar 5, 2024
Good introduction but wish the assignments were more challenging and intuitive felt like it was a lot just like heres some code to do what you need to do
By Jeremy .
•Jan 1, 2021
Some of the assignment organization could have been better, but otherwise the information was rock solid!
By Jenny z
•Dec 1, 2020
better if TA could prepare projects with updated versions of libraries
By József V
•May 4, 2018
Useful but weaker comparing to Pandas or Scikit courses.
By Sara C
•May 16, 2018
i like the way that lecturer teach.
By Shahid R
•May 22, 2023
All the assignment have issues,.
By Leon V (
•Oct 7, 2017
it was okay, 3.5 really
By DW J
•Apr 6, 2018
hm..
By Luis B
•Nov 20, 2022
I thought the content was interesting - but it is so stale, none of the packages work with conventional language semantics. Getting assigments to submit was a major pain, ultimately souring the experience.
By Afreen F
•Feb 7, 2021
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
•Feb 22, 2021
Aimerais avoir plus de temps et de conseils pour bien réussir..
By Natasha D
•Dec 5, 2019
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 Moustafa S
•Aug 19, 2020
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?