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学生对 密歇根大学 提供的 Applied Social Network Analysis in Python 的评价和反馈

4.7
2,569 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

NK

May 2, 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 23, 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.

筛选依据:

76 - Applied Social Network Analysis in Python 的 100 个评论(共 427 个)

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 2, 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 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.

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 Punam P

Apr 25, 2020

Very nice platform to learn & enhance skill. Thanks to Prof. and team.. Also thanks to university and coursera platform for providing such a big platform to us.

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 15, 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 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.

创建者 Atilio T

Mar 22, 2020

Excellent course. The lecturer explains in a simple way to understand, and exercise are interested to the analysis of social network using python.

创建者 Vincenzo T

May 16, 2019

Very good course! I was afraid going into this after going the rather bad "Text Mining". However, it was super fun, well done and informative!

创建者 Vladimir

Dec 29, 2017

A very good course to learn about networks. Thanks!

The cherry on top was to apply machine learning techniques to predict how the net evolves.

创建者 Siyang

Oct 22, 2017

Best course in the series. The lecturer managed to explain difficult concepts very clearly through its excellent slides and words. Thank you!

创建者 Vinicius d A O

Mar 16, 2020

This course was fantastic, with a lot of information and tips important for me. The instructor is very focused and I have confidence on him.

创建者 David M

Feb 26, 2021

Excellent lecturer, very useful content, assignments were a good level of challenge, particularly the last one which brings it all to life.

创建者 Γεώργιος Κ

May 15, 2018

Another must to have lesson from Michigan Univeristy. After completing this lesson the Social Networks will be an analysis challenge.

创建者 Suyash D

Dec 19, 2018

An excellent course that provides a fair knowledge of social networks, the NetworkX package and how to work with networks in Python.

创建者 Kueida L

Sep 3, 2020

The quizzes were not giving you free points like other online courses. They were challenging. The assignments were well-structured.