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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
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2,720 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

CG

Sep 17, 2017

Excellent tour through the basic terminology and key metrics of Graphs, with a lot of help from the networkX library that simplifies many, otherwise tough, tasks, calculations and processes.

MS

Nov 17, 2020

I have never imagined such detailed analysis can be done on a network, nx in python is really powerful package with so many powerful functions that can do ample of analysis at a whim.

筛选依据：

426 - Applied Social Network Analysis in Python 的 450 个评论（共 456 个）

创建者 Andrés M A

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Mar 7, 2021

Excellent course.

创建者 Nicolas B

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Oct 6, 2017

Very good Course.

创建者 Hui X

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Sep 22, 2022

Easy to follow!

创建者 Thabsheer H

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Oct 16, 2020

nicely explained

创建者 arpit m

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Dec 15, 2018

very good course

创建者 Raghunath P

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Nov 10, 2018

Great Course!

创建者 Vinit D

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Jan 16, 2020

Tough course

创建者 Avi R

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Aug 3, 2019

Satisfactory

创建者 Jean E K

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May 18, 2018

good teacher

创建者 TEJASWI S

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Aug 2, 2019

Good course

创建者 Andreas C

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Dec 2, 2017

quite good

创建者 Chethan L

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Oct 2, 2019

Excellent

创建者 Xing W

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Dec 3, 2017

Not bad

创建者 shubham z

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Jun 13, 2020

good

创建者 mallikarjuna y

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May 5, 2020

good

创建者 V B

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Dec 30, 2020

NA

创建者 Alexandra C

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Feb 28, 2021

Videos are very distracting as there are many cutscene from the text to the instructor's face which is very disrupting for the flow of the lecture. Maybe overlaying his face on a small window on the corner will be better

创建者 Daniel B

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Dec 18, 2020

This course feels more like an API summary of networkx rather than a real course on social network analysis. On top of that, the course uses the outdated networkx 1.11, while 2.0 has been out for over three years.

创建者 Ying X T

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Mar 5, 2024

Good introduction but wish the assignments were more challenging and intuitive felt like it was a lot just like heres some code to do what you need to do

创建者 Jeremy .

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Jan 1, 2021

Some of the assignment organization could have been better, but otherwise the information was rock solid!

创建者 József V

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May 4, 2018

Useful but weaker comparing to Pandas or Scikit courses.

创建者 Sara C

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May 16, 2018

i like the way that lecturer teach.

创建者 Leon V (

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Oct 7, 2017

it was okay, 3.5 really

创建者 DW J

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Apr 6, 2018

hm..

创建者 Luis B

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Nov 20, 2022

I thought the content was interesting - but it is so stale, none of the packages work with conventional language semantics. Getting assigments to submit was a major pain, ultimately souring the experience.