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Applied Social Network Analysis in Python(으)로 돌아가기

미시건 대학교의 Applied Social Network Analysis in Python 학습자 리뷰 및 피드백

2,558개의 평가
432개의 리뷰

강좌 소개

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....

최상위 리뷰


2019년 5월 2일

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.


2018년 9월 23일

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.

필터링 기준:

Applied Social Network Analysis in Python의 425개 리뷰 중 76~100

교육 기관: Fabrice L

2017년 11월 23일

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.

교육 기관: Punam P

2020년 4월 25일

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.

교육 기관: Morgan S

2020년 7월 22일

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.

교육 기관: Jiaqi d

2019년 12월 15일

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 .

교육 기관: Tarit G

2020년 12월 2일

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.

교육 기관: Soh Y Z

2020년 11월 16일

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.

교육 기관: Avulapati N

2020년 7월 3일

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.

교육 기관: Piyush V

2020년 1월 29일

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.

교육 기관: M J

2018년 6월 4일

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.

교육 기관: Lutz H

2019년 7월 19일

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

교육 기관: Devon H

2018년 5월 5일

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

교육 기관: Atilio T

2020년 3월 22일

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

교육 기관: Vincenzo T

2019년 5월 16일

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!

교육 기관: Vladimir

2017년 12월 29일

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.

교육 기관: Siyang

2017년 10월 22일

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

교육 기관: Vinicius d A O

2020년 3월 16일

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.

교육 기관: David M

2021년 2월 26일

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

교육 기관: Γεώργιος Κ

2018년 5월 15일

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

교육 기관: Suyash D

2018년 12월 19일

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

교육 기관: Kueida L

2020년 9월 3일

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

교육 기관: Thales A K N

2020년 7월 8일

Very cool knowledge!! Began the specialization not knowing that this kind of study existed, and it was awesome learning about it!!

교육 기관: Henri

2019년 5월 19일

Great intro to networks; last assignment is challenging but is a good opportunity to put everything together (python+ML+Network).


2020년 9월 21일

The concept and assignment are excellent .This lectures gives good idea about usage networkx . Overall the course is excellent .

교육 기관: Elias

2018년 1월 11일

This is a very informative course in the property of networks and the feature extraction you can obtain out of this. Excellent

교육 기관: Shiomar S C

2019년 11월 5일

Excelente course, the instructor really meks you undestand with the right structure and having meaningfull in video quizes