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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
2,186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: 176 - 200 / 343 レビュー

by Sangeeth S

Sep 05, 2020

Very interesting course! Loved it!

by Kristin A

Feb 15, 2019

A nice intro to networks in Python

by Guo X W

Jul 01, 2020

Fantastic, well-explained course!

by Jose Á P L

Apr 10, 2019

Buen curso para empezar con redes

by Jhon I

Nov 12, 2017

I have only say, really amazing.

by Valikhan B

Jun 28, 2020

Daniel Romero is a great speaker

by Igor K

Aug 23, 2019

Nice course, worth to listen to

by PREMAL M

Feb 24, 2019

Excellent delivery and content.

by David M

Oct 09, 2018

Excellent course and professor!

by Armand L

Oct 28, 2018

Hard but instructive course !

by Tian L

Aug 25, 2019

a great introductory course.

by Ayon B

Nov 20, 2018

Nice course. Well presented.

by David K

May 08, 2018

Amazing class. I loved this.

by Hemalatha N

Dec 08, 2017

Good intro to using networkx

by Anand T

Jul 07, 2018

A bit intense, bu rewarding

by Fernandes M R

Jul 28, 2020

This course was new to me.

by BITATA G

Sep 09, 2020

Enjoyed the whole course!

by Manikant R

May 24, 2020

Well Taught, great course

by SADA S P

Jun 26, 2018

Awesome with cool Teacher

by Jan Z

Sep 07, 2018

Great course. Thank you!

by Tongsu P

Mar 05, 2018

Very interesting course!

by datascience

Oct 24, 2017

Great course. Thank you.

by Cong L

Apr 05, 2018

Very clear explanation.

by Gaurav K

Aug 31, 2020

very good course to do

by Gurami K

Jan 23, 2020

it was a great course!