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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.

筛选依据:

201 - Applied Social Network Analysis in Python 的 225 个评论(共 456 个)

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

It 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 Krishna S R P

Oct 21, 2019

the very best course it is very helpful and useful

创建者 Lam H

Dec 1, 2022

Helpful course with rich material for my learning

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.

创建者 Ho P D

May 26, 2021

Nice course with broad overview of the topic

创建者 phantomxx

Oct 8, 2020

Great content and practices! Really useful.

创建者 Mohammad H

Oct 26, 2018

the course will teach basic of SNA so clear

创建者 Ayush R

Aug 5, 2018

Better Explanation, Not too hard to solve .

创建者 Fengping W

May 1, 2018

It is really a good series, I learned a lot

创建者 Sagar

Dec 28, 2018

Grate for solving network analytics issues

创建者 John A C

Nov 17, 2019

I loved learning all about graph theory!

创建者 hssni A

Nov 3, 2020

very well explained thank you very much

创建者 Luiz H

Sep 25, 2017

Great course, very informative. Thanks!

创建者 Bruce M

Apr 27, 2020

Great course, Interesting assignments.