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學生對 密歇根大学 提供的 Applied Social Network Analysis in Python 的評價和反饋

4.6
1,431 個評分
230 個審閱

課程概述

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....

熱門審閱

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.

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26 - Applied Social Network Analysis in Python 的 50 個評論(共 222 個)

創建者 Jose Á P L

Apr 10, 2019

Buen curso para empezar con redes

創建者 Ana M L M

Apr 15, 2019

Excellent course.

創建者 ABDUL N M

Mar 12, 2019

Gave me a very good understanding of the basic concepts

創建者 Akash G

Mar 03, 2019

good

創建者 Varga I K

Mar 09, 2019

It was great introducing the networks, but I found most of the assignments too straightforward except for the last weeks.

創建者 charles l

Feb 04, 2019

A completely new area for me, and a really fascinating course.

創建者 Alexander G

Feb 05, 2019

I got a bit the wrong impression from the title, but it was throughout the course very interesting to learn about Graphs. A welcome addition to the course would be a cheat sheet with the most important quantities.

創建者 Aya

Feb 26, 2019

The course covered many relevant topics and was very easy to follow and apply to the real world.

創建者 CMC

Feb 14, 2019

This is a great course for 2 reasons. The earlier assignments were just difficulty enough to reinforce the lectures. The last assignment was challenging enough to bring the entire specialization to to satisfying close. After finishing assignment 4, I really feel that I can apply the learning from this specialization to real work.

創建者 Jan Z

Sep 07, 2018

Great course. Thank you!

創建者 Yusuf E

Sep 24, 2018

Coming into this course, I didn't expect much but I was pleasantly surprised by the quality of the material. The quizzes were especially designed well and the final assignment was really challenging and instructive. I wish there was more of predictive modeling using network features but the rest of the course easily makes up for that.

創建者 Jingting L

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.

創建者 Konstantinos M

Sep 13, 2018

Very interesting topic and well-made lessons.

創建者 Thaweedet

Aug 16, 2018

Great, You will to learn how to develop feature for social network data

創建者 Tam

Aug 18, 2018

Wow

創建者 Jun W

Aug 19, 2018

A very interesting course, beyond my expectation.

創建者 Manuel V

Oct 16, 2018

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

創建者 Leonid I

Oct 18, 2018

Great course! Only one note: the online notebooks use an old version of networkx (v1.11), which is incompatible with the newer v2.2. Therefore, some trickery is required to read pickled networks locally...

創建者 Rahul S

Oct 08, 2018

Remarkably good explanations, and interesting selection of subtopics. Interestingly , it does not delve into Facebook or any other social media applications, and is still just as valuable as it covers Graphs in some depth. Uses Python and its NetworkX library. Knowledge of classification models and scikit-learn is needed for the 4th assignment.

創建者 Dibyendu C

Oct 19, 2018

Well structured and quality lecture content with excellent assignments

創建者 Sylvain D

Oct 19, 2018

Great course

創建者 David M

Oct 09, 2018

Excellent course and professor!

創建者 Mohammad H

Oct 26, 2018

the course will teach basic of SNA so clear

創建者 Armand L

Oct 28, 2018

Hard but instructive course !

創建者 Kai H

Nov 08, 2018

Good course, may be better if offer more practice and application.