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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
1,467 個評分
238 個審閱

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 229 個)

創建者 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.

創建者 Benjamin R

Jun 09, 2018

Very good insights into social network analysis. I particularly liked the final assignment.

創建者 Tina L

Dec 16, 2017

Good Elaboration. Very clear concepts.

創建者 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.

創建者 王玉龙

Oct 18, 2017

Eventhough the tutorial video is also switch to the teacher's face that make me stop the video to see the slide frame.But It's intuitive to understand the basic concept about the network with some exercise to enforce the knowledge. The final exercise is more intersting...

創建者 Rajesh R

Feb 08, 2018

Excellent course to understand various networking principles and analyszng the same.

創建者 Reed R

Mar 02, 2018

Well taught and in a field which is not covered by many other data science curricula

創建者 Nick P

Oct 08, 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.

創建者 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.

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 wenzhu z

Feb 22, 2018

very clear logic, and will always wrap up at the end of the class

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 James M

May 30, 2018

This is the last course of the Applied Data Sci in Python certificate. It effectively ties together all the introduced concepts from the previous courses (except Natural Language Processing). Daniel Romero was an extremely effective lecturer and many of the concepts and know-how were introduced, taught, and assessed appropriately. I'm also impressed that I was able to learn a new python library I (or my coworkers) had not heard of before.

創建者 LEE D D

Nov 06, 2017

Excellent! It was one of the great assignments I ever had!

創建者 Dongliang Z

Jan 18, 2018

I enjoyed this course. This course is about the basic knowledge in network analysis. I do hope the lecturer can give more knowledge and application in network analysis. (Perhaps holding a series courses of Network Analysis in Python will be very good in the future!)

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 Michal C

Oct 16, 2017

The course was interesting and valuable . Videos were clear and well organized.

I enjoyed studding it.

創建者 Rui

Oct 11, 2017

very good introductory course for social network analysis using Python.

創建者 SADA S P

Jun 26, 2018

Awesome with cool Teacher

創建者 Jiahui B

Nov 29, 2017

Very useful course. It helps me finish my course project.

創建者 Frank L

Oct 14, 2017

This course was very interesting and well taught, finally after all other courses I have managed to complete the assignments for this one in the recommended amount of time. Maybe the questions were structured better than past modules, or maybe my level of understanding of programming in python was at its best. Either way the assignments were very enjoyable, thank you!

創建者 Cong L

Apr 05, 2018

Very clear explanation.

創建者 Carlos S

Oct 08, 2017

Great introduction to network theory and applications using Python Networkx library.

創建者 Luiz H Q L

Sep 25, 2017

Great course, very informative. Thanks!

創建者 Landon M L

Oct 25, 2017

Good instruction because the explanation with some good examples that improve my comprehension.