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学生对 密歇根大学 提供的 Applied Social Network Analysis in Python 的评价和反馈

4.7
2,569 个评分

课程概述

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....

热门审阅

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.

筛选依据:

176 - Applied Social Network Analysis in Python 的 200 个评论(共 427 个)

创建者 Wai Y P S

Jun 22, 2021

Thanks you so much University of Michigan for Great course

创建者 Marco Z

Apr 22, 2020

Very interesting , a new point of view for future analysis!

创建者 Israel D D G

Aug 22, 2020

Excellent course, good technical and teoretical knowledge.

创建者 LEE D D

Nov 5, 2017

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

创建者 Manuel T

Jan 30, 2018

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

创建者 Jiahui B

Nov 28, 2017

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

创建者 Ruihua G

Jul 8, 2019

this course provided a overview of the network analysis.

创建者 Jiefei W

Apr 11, 2020

Practiced with what was covered in the 1th~3rd courses.

创建者 Abdul N M

Mar 12, 2019

Gave me a very good understanding of the basic concepts

创建者 Manuel V

Oct 16, 2018

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

创建者 Maryanne K

May 4, 2020

Outstanding explanation of concepts. Highly recommend.

创建者 Steven G

Nov 10, 2019

Excellent course. Interesting content and well taught.

创建者 Su L

Mar 30, 2020

enjoyed it very much, thank you Professor and mentors

创建者 Nishal

Dec 4, 2019

Good information, at a good pace, explained very well

创建者 Luiz H C d S

Jan 1, 2022

I​t is a great course, it will help whoever does it.

创建者 PURNA C R . K

Jul 22, 2020

Indepth knowledge about network analysis. Thank you

创建者 KRISHNASAI R

Oct 21, 2019

the very best course it is very helpful and useful

创建者 SUBBA R D

Jun 11, 2020

Very useful course especially for the beginners .

创建者 Jun W

Aug 19, 2018

A very interesting course, beyond my expectation.

创建者 Sanjay K

Jan 22, 2018

Michigan course everything is excellent. love it

创建者 Eagan C

Dec 1, 2020

Very clear in explaining these useful concepts

创建者 Eric W

Feb 3, 2020

Clear, concise, well organised and structured.

创建者 Sebastian B B

Aug 24, 2020

Manual calculation for quizes are useless imo

创建者 Xin Y

Apr 3, 2020

Excellent Course! Best in the specialization!

创建者 Konstantinos M

Sep 13, 2018

Very interesting topic and well-made lessons.