Chevron Left
Applied Social Network Analysis in Python(으)로 돌아가기

미시건 대학교의 Applied Social Network Analysis in Python 학습자 리뷰 및 피드백

4.7
별점
1,995개의 평가
320개의 리뷰

강좌 소개

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....

최상위 리뷰

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.

필터링 기준:

Applied Social Network Analysis in Python의 310개 리뷰 중 126~150

교육 기관: Marco Z

Apr 22, 2020

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

교육 기관: LEE D D

Nov 06, 2017

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

교육 기관: Manuel T

Jan 30, 2018

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

교육 기관: Jiahui B

Nov 29, 2017

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

교육 기관: Ruihua G

Jul 08, 2019

this course provided a overview of the network analysis.

교육 기관: Jiefei W

Apr 11, 2020

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

교육 기관: ABDUL N M

Mar 12, 2019

Gave me a very good understanding of the basic concepts

교육 기관: Manuel V

Oct 16, 2018

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

교육 기관: Maryanne

May 04, 2020

Outstanding explanation of concepts. Highly recommend.

교육 기관: Steven G

Nov 10, 2019

Excellent course. Interesting content and well taught.

교육 기관: Su L

Mar 30, 2020

enjoyed it very much, thank you Professor and mentors

교육 기관: Nishal

Dec 04, 2019

Good information, at a good pace, explained very well

교육 기관: PURNA C R . K

Jul 23, 2020

Indepth knowledge about network analysis. Thank you

교육 기관: KRISHNASAI R

Oct 21, 2019

the very best course it is very helpful and useful

교육 기관: SUBBA R D

Jun 11, 2020

Very useful course especially for the beginners .

교육 기관: Jun W

Aug 19, 2018

A very interesting course, beyond my expectation.

교육 기관: Sanjay K

Jan 22, 2018

Michigan course everything is excellent. love it

교육 기관: Eric W

Feb 03, 2020

Clear, concise, well organised and structured.

교육 기관: Xin Y

Apr 04, 2020

Excellent Course! Best in the specialization!

교육 기관: Konstantinos M

Sep 13, 2018

Very interesting topic and well-made lessons.

교육 기관: Mohammad H

Oct 26, 2018

the course will teach basic of SNA so clear

교육 기관: Ayush R

Aug 05, 2018

Better Explanation, Not too hard to solve .

교육 기관: Fengping W

May 01, 2018

It is really a good series, I learned a lot

교육 기관: Sagar

Dec 29, 2018

Grate for solving network analytics issues

교육 기관: John A C

Nov 18, 2019

I loved learning all about graph theory!