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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
1,433 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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101 - Applied Social Network Analysis in Python 的 125 個評論(共 223 個)

創建者 Benjamin R

Jun 09, 2018

Very good insights into social network analysis. I particularly liked the final assignment.

創建者 Devon H

May 05, 2018

Great lecturer, comprehensive material and unlike other courses in this specialisation, actually prepares you well for the assignments and quizzes.

創建者 Carlos S

Oct 08, 2017

Great introduction to network theory and applications using Python Networkx library.

創建者 Luiz H Q L

Sep 25, 2017

Great course, very informative. Thanks!

創建者 Landon M L

Oct 25, 2017

Good instruction because the explanation with some good examples that improve my comprehension.

創建者 Dongliang Z

Jan 18, 2018

I enjoyed this course. This course is about the basic knowledge in network analysis. I do hope the lecturer can give more knowledge and application in network analysis. (Perhaps holding a series courses of Network Analysis in Python will be very good in the future!)

創建者 Jorge A S

Feb 27, 2018

Great explanations. The instructor is awesome and has good visual material. In-video quizzes keep you engaged during the lecture. I am very happy with the course.

創建者 Dan S

Feb 25, 2018

I loved this course. It was well taught and had excellent problem sets and quizzes to internalize the learning. The material is very relevant to the market today. I highly recommend it.

創建者 Li T

Feb 09, 2018

inspirational course

創建者 Yaron K

Sep 21, 2017

Excellent course. Lecturer clearly explains network analysis terms and algorithms with examples, and then shows how they are implemented by the Python networkX library. The assignments exercise their use.

創建者 David K

May 08, 2018

Amazing class. I loved this.

創建者 wenzhu z

Feb 22, 2018

very clear logic, and will always wrap up at the end of the class

創建者 Christos G

Sep 18, 2017

Excellent tour through the basic terminology and key metrics of Graphs, with a lot of help from the networkX library that simplifies many, otherwise tough, tasks, calculations and processes.

創建者 周志凌

Jul 05, 2018

good course

創建者 Manuel T

Jan 30, 2018

good stuff. Assignments are a little bit too easy though.

創建者 Michal C

Oct 16, 2017

The course was interesting and valuable . Videos were clear and well organized.

I enjoyed studding it.

創建者 Tina L

Dec 16, 2017

Good Elaboration. Very clear concepts.

創建者 Jhon I

Nov 12, 2017

I have only say, really amazing.

創建者 Fabrice L

Nov 23, 2017

Very good class.

The lecturer is amazing!! The quizzes help you understand the concepts. The assignments are a little basic though.

Overall you learn a great deal.

創建者 王玉龙

Oct 18, 2017

Eventhough the tutorial video is also switch to the teacher's face that make me stop the video to see the slide frame.But It's intuitive to understand the basic concept about the network with some exercise to enforce the knowledge. The final exercise is more intersting...

創建者 Rajesh R

Feb 08, 2018

Excellent course to understand various networking principles and analyszng the same.

創建者 Reed R

Mar 02, 2018

Well taught and in a field which is not covered by many other data science curricula

創建者 Rui

Oct 11, 2017

very good introductory course for social network analysis using Python.

創建者 SADA S P

Jun 26, 2018

Awesome with cool Teacher

創建者 Nick P

Oct 08, 2017

Interesting material and easy to follow. Assignments and quizzes were sufficiently challenging, but not too difficult that I spent entire weekends troubleshooting my code.