Chevron Left
Applied Social Network Analysis in Python に戻る

ミシガン大学(University of Michigan) による Applied Social Network Analysis in Python の受講者のレビューおよびフィードバック

4.7
2,183件の評価
354件のレビュー

コースについて

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....

人気のレビュー

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.

フィルター:

Applied Social Network Analysis in Python: 226 - 250 / 343 レビュー

by Pranav N

Jun 07, 2020

Great course

by Shadi A

Jun 23, 2019

Great course

by To P H

Nov 11, 2018

Great course

by Sylvain D

Oct 19, 2018

Great course

by P V N S R R K

Aug 05, 2020

Good course

by Ibadurrahman

Jun 11, 2020

good course

by Shwetank A

Jul 27, 2019

nice course

by Stephen

May 03, 2019

Good Course

by SONIA D

Jan 27, 2019

Very useful

by Zhiling Z

Jul 05, 2018

good course

by José C

Sep 09, 2020

Excellent!

by Irving B

Jun 18, 2020

Excellent!

by Michael

Dec 17, 2018

Great job!

by Deleted A

Sep 03, 2020

very good

by Sebastian

Jun 27, 2020

Very good

by Mehrdad M

Apr 17, 2020

very Good

by Arnab

Nov 03, 2017

Excellent

by Charles R

Apr 16, 2020

complete

by el b a

Jul 15, 2020

parfect

by Pranab d

Mar 17, 2020

awesome

by Light0617

Jun 01, 2019

great!!

by Yoselin A

Sep 09, 2020

Great!

by Santosh R

May 31, 2020

awsome

by ZHUOFU L

Apr 01, 2019

Great!

by SHREYASHI D

Sep 17, 2020

great