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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
2,559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: 376 - 400 / 425 レビュー

by Lorenzo V ( R P

2022年1月17日

Great class but, please, fix the autograder, guys. No, really do.

by Roger v S

2020年10月6日

The lecturer was the best of the lecturers in the specialisation.

by Carlos F S B

2020年8月19日

it was really difficult for me, gotta practice more on my own

by Jesús P

2018年1月22日

Good course but could be improved with realistic scenarios.

by Siwei Y

2017年9月21日

老师讲解的非常好 , 逻辑清楚,条理明晰。建议编程作业稍微有点难度。所以扣掉一颗星。 希望越来越好。

by Yang F

2017年9月22日

The first three weeks are very well planned.

by Chris E

2019年3月27日

Very new on this topic and very interesting

by David W

2017年10月12日

Challenging course and great instruction.

by Dhanil K

2022年6月16日

Very good explantions and lab exercises

by Brian R v K

2017年10月23日

Great fun, with practical application.

by Robert S

2020年11月29日

Interesting material well presented.

by Oscar F R P

2020年8月30日

Really hard but very interesting.

by Cyrus N A P

2019年1月24日

Well the subject was really hard.

by Deni M

2021年5月30日

G​reat course highly recommended

by Rupert

2018年1月23日

Good introduction into graphs!

by Selvakumar

2018年6月20日

This is awesome course!

by Subeesh P

2020年11月9日

Very good experience

by Andrés M A

2021年3月7日

Excellent course.

by Nicolas B

2017年10月6日

Very good Course.

by THABSHEER H

2020年10月16日

nicely explained

by arpit m

2018年12月15日

very good course

by Raghunath P

2018年11月10日

Great Course!

by Vinit D

2020年1月16日

Tough course

by Avi R

2019年8月3日

Satisfactory

by Jean E K

2018年5月18日

good teacher