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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
1,433 個評分
230 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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151 - Applied Social Network Analysis in Python 的 175 個評論(共 223 個)

創建者 Light0617

Jun 01, 2019

great!!

創建者 Saurabh M

Aug 21, 2019

An excellent course

創建者 Igor K

Aug 23, 2019

Nice course, worth to listen to

創建者 Tian L

Aug 25, 2019

a great introductory course.

創建者 Renzo B

Sep 24, 2019

I learned a lot of things that I can apply to my line of work.

創建者 Amila R

Sep 30, 2019

Good starting point for those who want ro learn social network analysis.

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 KRISHNASAI R

Oct 21, 2019

the very best course it is very helpful and useful

創建者 Dongquan S

Oct 22, 2019

Very well organized course. Thank you!

創建者 Suleman k

Nov 09, 2019

Great for Beginners

創建者 Steven G

Nov 10, 2019

Excellent course. Interesting content and well taught.

創建者 John A C

Nov 18, 2019

I loved learning all about graph theory!

創建者 Shashi P T

Nov 17, 2018

This was wonderful course in terms of content and content delivery. Prof was really nice. His pace was very good.

創建者 Robert J K

Dec 19, 2018

The course starts off a bit slow but gets you used to the NetworkX module. The last exercise is a pretty neat culmination of the this course and specialization. It would have been cool for it to also involve text mining, but I enjoyed it and the course in general.

創建者 Jose P

Dec 08, 2018

Social Network was completely new to me and I found this course provided basic and more detailed information about the matter, and also enough documentation to continue learning. I see there is much more to learn, but the course was a great introduction.

創建者 Bart T C

Dec 10, 2018

Great course! Love the instructor. Good background in networks, while sticking to the applied side of things.

創建者 Martin U

Jan 28, 2019

This was a great course, lots of great insights to gain. Only thing that was frustrating was the multiple choice quiz questions. I hated those.

創建者 Steffen H

Nov 21, 2018

Course was ok, the assignments are not too difficult. I wish the course would provided more insights and discussions of the presented metrics of centrality though.

創建者 Raghunath P

Nov 11, 2018

Great Course!

創建者 Cyrus N P

Jan 24, 2019

Well the subject was really hard.

創建者 Arpit M

Dec 15, 2018

very good course

創建者 Anad K

Nov 16, 2018

Good Content! And the assignments were just right to augment effective learning.

創建者 Maciej W

Sep 07, 2018

Great hands on learning experience to social network analysis in Python

創建者 Jonas N

Oct 05, 2018

Highly valuable course and a good starter for network analysis. Do recommend!

創建者 Mohit M K

Oct 22, 2018

One of the more tougher courses in Social Networks but still would recommend to everyone!