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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
1,579 個評分
254 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....

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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51 - Applied Social Network Analysis in Python 的 75 個評論(共 244 個)

創建者 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.

創建者 Matthew J

Jun 04, 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.

創建者 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.

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 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!

創建者 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.

創建者 Teo S

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!

創建者 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.

創建者 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.

創建者 Henri

May 19, 2019

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

創建者 Elias

Jan 11, 2018

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

創建者 Shiomar S C

Nov 05, 2019

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

創建者 Dhananjai S

Jun 11, 2019

One of the best courses on social network analysis. Professor Daniel Romero did an excellent job explaining the contents.

創建者 Varga I K

Mar 09, 2019

It was great introducing the networks, but I found most of the assignments too straightforward except for the last weeks.

創建者 Mile D

Dec 20, 2017

Excellent explanations and examples. Recommended text to read was also very helpful. Thanks for providing this course!!!

創建者 Sarah H H

Jun 03, 2019

i found this course to be fun and straightforward. The assignments were directly aligned to instruction. Great course!

創建者 Christian P

Dec 29, 2019

Excellent, well taught and in-depth programming exercises. I really got my hands into programming with networkx here.

創建者 Oscar J O R

Oct 15, 2017

A really good course. Notebooks could be very useful to practice and maybe more exercises(not graded) with real data.

創建者 Slavisa D

Jun 09, 2019

Very helpful, I didn't know anything about graphs, networks modelling and the NetworkX package before this course.

創建者 Yunhong H

Mar 23, 2019

Great course. The lectures are taught clearly. The knowledge gained in this course is very useful in real world.

創建者 Iurii S

Feb 17, 2018

A great introduction to network analysis. Assignments are easy, but provide a good first glimpse at the topic.

創建者 Darren

Sep 24, 2017

The best course I had on coursera ever, it really broaden my scope of knowledge. It worth waiting so much time

創建者 Phillip L C

Dec 26, 2018

Just the greatest class to sum up what is going on in the crazy network media and using what we have learned.

創建者 Diego T B

Dec 11, 2018

very useful and engaging. A was hoping a very different scope on the course but this approach did very well.

創建者 Daniel B

Apr 02, 2019

Great introduction to social graph analysis, along with a very useful and popular Python package NetworkX.