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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

4.7
2,415 個評分
406 條評論

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....

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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.

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51 - Applied Social Network Analysis in Python 的 75 個評論(共 395 個)

創建者 Roger C

2021年2月26日

The course is very well designed and I learned a lot from it. The quizzes and assignments tested my knowledge. It was also good that the forum tried not to give too many hints to the users so that they can go figure it out themselves.

創建者 Ari W R

2020年9月1日

It is a little bit harder to finishing this course, but i really enjoy it. There're many useful things that we can get from it. I hope always remind this experience about this knowledge and can implemented in the future. Thank you!

創建者 Manuel A

2018年8月22日

Very challenging and comprehensive course, also directly applicable to machine learning problems, as an example, the last assignment applies network knowledge to extract features and exploit them in predictive modelling problems

創建者 Alexander G

2019年2月5日

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 Ling G

2017年9月20日

I like this class because the topic is interesting and the homework is not too hard but walks me through some important functionalities of NetworkX. The instructor is also pretty good at presentation as well.

創建者 Kedar J

2018年11月16日

Great intro course to graph theory and graph analysis using applied python networkx library. The course covers a number of theoretical topics. Would recommend using a local notebook along with the lectures.

創建者 Leonid I

2018年10月18日

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 Yaron K

2017年9月21日

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 João R W S

2017年10月6日

Very good course! I've learned a lot both in theory and practical aspects. The final assignment worth to put all together with the skills learned in the other 4 courses of the specialization. Great job!

創建者 Nitin K

2019年5月3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.

創建者 dan s

2018年2月25日

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 Sandilya M

2020年11月18日

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.

創建者 Francis J A

2020年11月23日

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.

創建者 Spencer R

2020年3月28日

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.

創建者 Luiz H S

2020年8月23日

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.

創建者 Nick P

2017年10月7日

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

創建者 Korkrid A

2017年9月27日

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.

創建者 Servio P

2017年11月18日

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.

創建者 Saurabh S

2018年2月19日

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.

創建者 Nussaibah B R S

2019年6月2日

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.

創建者 Jorge A S

2018年2月27日

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 谢仑辰

2018年3月23日

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.

創建者 Fabrice L

2017年11月23日

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 Punam P

2020年4月25日

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.

創建者 Morgan S

2020年7月22日

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.