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

4.7
stars
2,124 ratings
346 reviews

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 03, 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 24, 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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301 - 325 of 335 Reviews for Applied Social Network Analysis in Python

By Miguel C

Dec 08, 2017

The last assigment is really interesting, all the others are really easy

By Maciej W

Sep 07, 2018

Great hands on learning experience to social network analysis in Python

By Harshith S

Jun 24, 2019

Daniel Romero is probably the best instructor in this specialization

By Carlos F S B

Aug 19, 2020

it was really difficult for me, gotta practice more on my own

By Jesús P S

Jan 22, 2018

Good course but could be improved with realistic scenarios.

By Siwei Y

Sep 21, 2017

老师讲解的非常好 , 逻辑清楚,条理明晰。建议编程作业稍微有点难度。所以扣掉一颗星。 希望越来越好。

By Yang F

Sep 22, 2017

The first three weeks are very well planned.

By Christian E

Mar 27, 2019

Very new on this topic and very interesting

By David W

Oct 12, 2017

Challenging course and great instruction.

By Brian R v K

Oct 23, 2017

Great fun, with practical application.

By Oscar F R P

Aug 30, 2020

Really hard but very interesting.

By Cyrus N P

Jan 24, 2019

Well the subject was really hard.

By Rupert

Jan 23, 2018

Good introduction into graphs!

By Selvakumar

Jun 20, 2018

This is awesome course!

By Nicolas B

Oct 06, 2017

Very good Course.

By arpit m

Dec 15, 2018

very good course

By Raghunath P

Nov 11, 2018

Great Course!

By Vinit D

Jan 16, 2020

Tough course

By Avi R

Aug 03, 2019

Satisfactory

By Jean E K

May 18, 2018

good teacher

By TEJASWI S

Aug 02, 2019

Good course

By Andreas C

Dec 03, 2017

quite good

By Chethan S L

Oct 02, 2019

Excellent

By Xing W

Dec 04, 2017

Not bad

By shubham z

Jun 13, 2020

good