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学生对 University of Michigan 提供的 Applied Social Network Analysis in Python 的评价和反馈

4.6
2,718 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

VS

Jul 15, 2018

Lectures are very well-designed. Especially, the assignment of week 4 is too good, that give me an overview of how we can apply machine learning in network analysis.

JA

Nov 22, 2020

Great introductory course on graph theory using Networkx. The instructor goes through each algorithm with step-by-step examples, and gives relevant examples at the end of each topic.

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176 - Applied Social Network Analysis in Python 的 200 个评论(共 456 个)

创建者 Namrata T

Mar 24, 2022

Terrific Course. Learned a lot in graph theory and network analysis.

创建者 Chiau H L

Apr 4, 2019

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

创建者 Jose L G T

Jul 30, 2022

great course and specialization! quality of the contents is superb

创建者 Keqi L

Apr 14, 2019

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

创建者 Kai H

Nov 8, 2018

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

创建者 Tatek E

Mar 23, 2020

Excellent presentation, exercise and reading materials. Thank you

创建者 wenzhu z

Feb 22, 2018

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

创建者 杨志陶

May 16, 2020

A practical way to learn social network analysis. Great course!

创建者 Thangella A k r

Sep 23, 2022

Its an wonderfull opertunity to learn and analysis in python

创建者 Renzo B

Sep 23, 2019

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

创建者 Charles L

Feb 4, 2019

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

创建者 Yee F

Jun 30, 2021

Course is much easier to understand that applied text mining.

创建者 Haris P D

Jan 31, 2020

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

创建者 Wai Y P S

Jun 21, 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 Y. N

Jan 11, 2023

Good course. Covers both concepts and practical aspects.

创建者 Ruihua G

Jul 7, 2019

this course provided a overview of the network analysis.

创建者 Jiefei W

Apr 10, 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 Y

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.