Chevron Left
返回到 Applied Social Network Analysis in Python

学生对 University of Michigan 提供的 Applied Social Network Analysis in Python 的评价和反馈

4.6
2,718 个评分

课程概述

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....

热门审阅

VS

Jul 15, 2018

Lectures are very well-designed. Especially, the assignment of week 4 is too good, that give me an overview of how we can apply machine learning in network analysis.

L

Aug 22, 2020

Basic yet informative course. The videos are well paced and the presenter is instructive. The exercises are well made, putting more enphasis on what was learned in the videos.

筛选依据:

76 - Applied Social Network Analysis in Python 的 100 个评论(共 456 个)

创建者 KimSour T

Dec 30, 2024

Very practical course with theory concept and give the example to follow. This will help a lots at my working place, especially banking where most of data is link from one user to another.

创建者 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.

创建者 Machiraju S

Nov 18, 2020

I have never imagined such detailed analysis can be done on a network, nx in python is really powerful package with so many powerful functions that can do ample of analysis at a whim.

创建者 Joshua A

Nov 23, 2020

Great introductory course on graph theory using Networkx. The instructor goes through each algorithm with step-by-step examples, and gives relevant examples at the end of each topic.

创建者 Spencer R

Mar 28, 2020

Very helpful courses. I was able to review and got much better at some things I already knew like data visualization and was able to explore some new areas like network analysis.

创建者 Luiz H S (

Aug 23, 2020

Basic yet informative course. The videos are well paced and the presenter is instructive. The exercises are well made, putting more enphasis on what was learned in the videos.

创建者 Nick P

Oct 7, 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.

创建者 Korkrid A

Sep 26, 2017

It's rare to find an amazing course in network analysis online, and I'm very glad to have taken this course and learn the art of network analysis for research purposes.

创建者 Servio P

Nov 18, 2017

This course contains many important concepts of Graph Theory and Network Analysis. The explanation is clear and neat. Also, the assignments are fun and comprehensible.

创建者 Saurabh S

Feb 19, 2018

Very comprehensive course for introduction of social network analysis. Best part is every concept is covered in detail and how to implement using networkx library.

创建者 Nussaibah B R S

Jun 1, 2019

I found it hard sometimes to understand the concepts but this gave me quite an introduction on social network analysis and encouraged me to learn more about them.

创建者 Jorge A S

Feb 26, 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.

创建者 谢仑辰

Mar 23, 2018

I really appreciate that you offer me such a great specialization of courses.Since I've finished the final course eventually, I should offer my gratitude to you.

创建者 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.

创建者 Morgan S

Jul 22, 2020

Great introductory course to graph theory! Dr. Romero is one of the most engaging professors that I've had, both in-person and online. The assignments are fun.

创建者 Jiaqi d

Dec 14, 2019

Really helpful. Get a basic idea of the social network and how to use python to analyze it. Will definitely dig deeper and see how it could relate to my work .

创建者 Tarit G

Dec 2, 2020

Excellent course to learn Network Analysis using Python. Thank you to the instructor and whole team behind making this course for providing such good content.

创建者 Bagher K

Jul 1, 2023

The course was prefect in my opinion.

Very clear teaching materials and the assignments were neither too easy nor very complicated.

Thanks a lot to the tutor.

创建者 Soh Y Z

Nov 16, 2020

Clear explanation. Very well taught course. Will be good if the course also teaches us how to extract social network information from social media sites.

创建者 Avulapati N

Jul 3, 2020

A nice short course on Networks. This was one of the best courses I've taken on Coursera.

The course content, instructor and assignments are all amazing.

创建者 Piyush V

Jan 29, 2020

All over the course is very relevant to what is a need in industry. Very nice video lectures, to the point and crisp. Material is quite informative too.

创建者 M J

Jun 4, 2018

An excellent course which is well planned and executed! If you're following the specialization, it's a welcome relief after the text analysis course.

创建者 Lutz H

Jul 19, 2019

Great course! Really well explained with intuitive examples and great illustrations. At the end there is an interesting but challenging assignment.

创建者 Devon H

May 5, 2018

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