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學生對 密歇根大学 提供的 Applied Social Network Analysis in Python 的評價和反饋

4.7
1,613 個評分
263 條評論

課程概述

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....

熱門審閱

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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101 - Applied Social Network Analysis in Python 的 125 個評論(共 255 個)

創建者 Lee C H

Apr 04, 2019

Awesome course!!! Helped me a lot to get started with graph analysis

創建者 Keqi L

Apr 14, 2019

Interesting slides and knowledge. e.g. Page rank is super cool!!!!

創建者 Kai H

Nov 08, 2018

Good course, may be better if offer more practice and application.

創建者 Tatek K

Mar 23, 2020

Excellent presentation, exercise and reading materials. Thank you

創建者 wenzhu z

Feb 22, 2018

very clear logic, and will always wrap up at the end of the class

創建者 Renzo B

Sep 24, 2019

I learned a lot of things that I can apply to my line of work.

創建者 charles l

Feb 04, 2019

A completely new area for me, and a really fascinating course.

創建者 Haris P D

Jan 31, 2020

One of the most awesome course that I have taken on Coursera!

創建者 LEE D D

Nov 06, 2017

Excellent! It was one of the great assignments I ever had!

創建者 Manuel T

Jan 30, 2018

good stuff. Assignments are a little bit too easy though.

創建者 Jiahui B

Nov 29, 2017

Very useful course. It helps me finish my course project.

創建者 Ruihua G

Jul 08, 2019

this course provided a overview of the network analysis.

創建者 ABDUL N M

Mar 12, 2019

Gave me a very good understanding of the basic concepts

創建者 Manuel V

Oct 16, 2018

in my opinon, the best of the specialization. thank you

創建者 Steven G

Nov 10, 2019

Excellent course. Interesting content and well taught.

創建者 Su L

Mar 30, 2020

enjoyed it very much, thank you Professor and mentors

創建者 Nishal

Dec 04, 2019

Good information, at a good pace, explained very well

創建者 KRISHNASAI R

Oct 21, 2019

the very best course it is very helpful and useful

創建者 Jun W

Aug 19, 2018

A very interesting course, beyond my expectation.

創建者 Sanjay K

Jan 22, 2018

Michigan course everything is excellent. love it

創建者 Eric W

Feb 03, 2020

Clear, concise, well organised and structured.

創建者 Konstantinos M

Sep 13, 2018

Very interesting topic and well-made lessons.

創建者 Mohammad H

Oct 26, 2018

the course will teach basic of SNA so clear

創建者 Ayush R

Aug 05, 2018

Better Explanation, Not too hard to solve .

創建者 Fengping W

May 01, 2018

It is really a good series, I learned a lot