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Avis et commentaires pour d'étudiants pour Applied Social Network Analysis in Python par Université du Michigan

4.7
étoiles
2,551 évaluations
430 avis

À propos du cours

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....

Meilleurs avis

NK

2 mai 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

23 sept. 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.

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176 - 200 sur 423 Avis pour Applied Social Network Analysis in Python

par Ruihua G

8 juil. 2019

this course provided a overview of the network analysis.

par Jiefei W

11 avr. 2020

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

par Abdul N M

12 mars 2019

Gave me a very good understanding of the basic concepts

par Manuel V

16 oct. 2018

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

par Maryanne K

4 mai 2020

Outstanding explanation of concepts. Highly recommend.

par Steven G

10 nov. 2019

Excellent course. Interesting content and well taught.

par Su L

30 mars 2020

enjoyed it very much, thank you Professor and mentors

par Nishal

4 déc. 2019

Good information, at a good pace, explained very well

par Luiz H C d S

1 janv. 2022

I​t is a great course, it will help whoever does it.

par PURNA C R . K

22 juil. 2020

Indepth knowledge about network analysis. Thank you

par KRISHNASAI R

21 oct. 2019

the very best course it is very helpful and useful

par SUBBA R D

11 juin 2020

Very useful course especially for the beginners .

par Jun W

19 août 2018

A very interesting course, beyond my expectation.

par Sanjay K

22 janv. 2018

Michigan course everything is excellent. love it

par Eagan C

1 déc. 2020

Very clear in explaining these useful concepts

par Eric W

3 févr. 2020

Clear, concise, well organised and structured.

par Sebastian B B

24 août 2020

Manual calculation for quizes are useless imo

par Xin Y

3 avr. 2020

Excellent Course! Best in the specialization!

par Konstantinos M

13 sept. 2018

Very interesting topic and well-made lessons.

par Ho P D

26 mai 2021

Nice course with broad overview of the topic

par phantomxx

8 oct. 2020

Great content and practices! Really useful.

par Mohammad H

26 oct. 2018

the course will teach basic of SNA so clear

par Ayush R

5 août 2018

Better Explanation, Not too hard to solve .

par Fengping W

1 mai 2018

It is really a good series, I learned a lot

par Sagar

29 déc. 2018

Grate for solving network analytics issues