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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
2,558件の評価
432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

2019年5月2日

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

2018年9月23日

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 / 425 レビュー

by Ruihua G

2019年7月8日

this course provided a overview of the network analysis.

by Jiefei W

2020年4月11日

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

by Abdul N M

2019年3月12日

Gave me a very good understanding of the basic concepts

by Manuel V

2018年10月16日

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

by Maryanne K

2020年5月4日

Outstanding explanation of concepts. Highly recommend.

by Steven G

2019年11月10日

Excellent course. Interesting content and well taught.

by Su L

2020年3月30日

enjoyed it very much, thank you Professor and mentors

by Nishal

2019年12月4日

Good information, at a good pace, explained very well

by Luiz H C d S

2022年1月1日

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

by PURNA C R . K

2020年7月22日

Indepth knowledge about network analysis. Thank you

by KRISHNASAI R

2019年10月21日

the very best course it is very helpful and useful

by SUBBA R D

2020年6月11日

Very useful course especially for the beginners .

by Jun W

2018年8月19日

A very interesting course, beyond my expectation.

by Sanjay K

2018年1月22日

Michigan course everything is excellent. love it

by Eagan C

2020年12月1日

Very clear in explaining these useful concepts

by Eric W

2020年2月3日

Clear, concise, well organised and structured.

by Sebastian B B

2020年8月24日

Manual calculation for quizes are useless imo

by Xin Y

2020年4月3日

Excellent Course! Best in the specialization!

by Konstantinos M

2018年9月13日

Very interesting topic and well-made lessons.

by Ho P D

2021年5月26日

Nice course with broad overview of the topic

by phantomxx

2020年10月8日

Great content and practices! Really useful.

by Mohammad H

2018年10月26日

the course will teach basic of SNA so clear

by Ayush R

2018年8月5日

Better Explanation, Not too hard to solve .

by Fengping W

2018年5月1日

It is really a good series, I learned a lot

by Sagar

2018年12月29日

Grate for solving network analytics issues