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Learner Reviews & Feedback for Applied Social Network Analysis in Python by University of Michigan

4.6
stars
2,648 ratings

About the Course

This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem. This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python....

Top reviews

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.

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401 - 425 of 441 Reviews for Applied Social Network Analysis in Python

By David W

Oct 12, 2017

Challenging course and great instruction.

By Dhanil K

Jun 16, 2022

Very good explantions and lab exercises

By Brian R v K

Oct 23, 2017

Great fun, with practical application.

By Robert S

Nov 29, 2020

Interesting material well presented.

By Oscar F R P

Aug 30, 2020

Really hard but very interesting.

By Cyrus N A P

Jan 24, 2019

Well the subject was really hard.

By Deni M

May 30, 2021

Great course highly recommended

By Rupert

Jan 23, 2018

Good introduction into graphs!

By Selvakumar

Jun 20, 2018

This is awesome course!

By Subeesh P

Nov 9, 2020

Very good experience

By Andrés M A

Mar 7, 2021

Excellent course.

By Nicolas B

Oct 6, 2017

Very good Course.

By Hui X

Sep 22, 2022

Easy to follow!

By Thabsheer H

Oct 16, 2020

nicely explained

By arpit m

Dec 15, 2018

very good course

By Raghunath P

Nov 10, 2018

Great Course!

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