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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
2,131 個評分
346 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

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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26 - Applied Social Network Analysis in Python 的 50 個評論(共 335 個)

創建者 Abu S

May 11, 2020

I started this course with certain amount of nervousness since I did not have a lot of idea about network analysis. With time I really become interested in this subject and by the week 4 I was really fell in love with this subject. The teacher was very engaging and clearly explained the ideas. Looking forward to finishing the specialization.

創建者 Yusuf E

Sep 24, 2018

Coming into this course, I didn't expect much but I was pleasantly surprised by the quality of the material. The quizzes were especially designed well and the final assignment was really challenging and instructive. I wish there was more of predictive modeling using network features but the rest of the course easily makes up for that.

創建者 Jonathan B

Jul 14, 2020

I only took this course so that I could finish off the data science specialization and I was pleasantly surprised by how much I enjoyed it. Instructor did a great job of tying the content to real-world applications and I personally enjoyed the final project which utilized much of the material that was learned throughout the course.

創建者 CMC

Feb 14, 2019

This is a great course for 2 reasons. The earlier assignments were just difficulty enough to reinforce the lectures. The last assignment was challenging enough to bring the entire specialization to to satisfying close. After finishing assignment 4, I really feel that I can apply the learning from this specialization to real work.

創建者 Keary P

Apr 21, 2019

Nice way to end the 5 course specialization. Brought together several machine learning and python skills that I learned in the previous courses. Instructor does a great job introducing new concepts with high level theory and intuitive examples. Course slides were superb and can serve as future reference material.

創建者 Víctor L

Mar 23, 2018

Excellent Course, very interesting, no idea that so many tools existed for network study and analysis. Excellent job both from the professor Daniel, and from Coursera/University of Michigan State. The QUIZES were very challenging, sometimes more than the Assignments. I'm really satisfied.

創建者 Niranjan H

Nov 14, 2018

As a course by itself or as part of the specialization, either way (it helps to have completed the first two in the set), it is a great course.

It provides a very good high level picture of what is needed in ones toolbox.

Essentials: networkx, matplotlib and to a lesser extent pandas.

創建者 Santiago D D

Apr 22, 2019

This class was an excellent introduction to network analysis, where concepts, metrics and purpose of application where provided in a clear and digestible manners. The instructor made the class very livable with topics that might have been too dry under different circumstances.

創建者 carl w

May 30, 2019

Month 5 was very nice. I enjoy networks and appreciate your presentation of the material. I would also like to thank all of those who worked to bring the specialization to life. This includes the lecturers, grad students, and mentors who devoted time to the class.

THANKS!!

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 Praveen R

Dec 10, 2019

I learnt about networkx and its capabilities. The course introduces to many network algorithms and talks about concepts of centrality, page rank, etc. Good eye opener to all these concepts. The last assignment is very practical and challenging. Enjoyed the course.

Praveen

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 Dung D L

Sep 14, 2020

Wonderful course with plenty of amazing knowledge about Graph and Network that I have never been approached. After this course, I have several skills to apply to my job. I truly appreciate the teachers, TA, and all people who contributed to this course.

創建者 J W

Apr 21, 2018

Well put together. Quizzes test on material covered and assignments expand on it. There is still challenge and rigor, but it comes from understanding the concepts, not ambiguity and lack of instruction. This is one of the best online courses I've taken.

創建者 Nikolay S

Jan 02, 2019

The course and the tutor are great.

I learned how to create and manage network graphs using python with networkx. I was really satisfied from the last week assignment when I had to work with real-life example plus machine learning classifier.

創建者 Juan C E

Nov 11, 2017

Excellent course. Very clear explanations and materials. The assignments were not as difficult as in other courses of the specialization, and very helpful to understand the contents. I highly recommend this course and the specialization.

創建者 Ari W R

Sep 02, 2020

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

Aug 22, 2018

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

Feb 05, 2019

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

Sep 21, 2017

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

Nov 16, 2018

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

Oct 18, 2018

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

Sep 21, 2017

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

Oct 07, 2017

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

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.