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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
stars
1,539 個評分
246 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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201 - Applied Social Network Analysis in Python 的 225 個評論(共 238 個)

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 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 Juan V P

Aug 14, 2019

Good course with a nice and clean talk professor. Perhaps I miss some real-world cases in the assignments.

創建者 Mohit M K

Oct 22, 2018

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

創建者 Anad K

Nov 16, 2018

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

創建者 Juan M

Jun 11, 2019

The machine learning connection could have been mentioned earlier in the course

創建者 Minshen C

Dec 25, 2019

it would be great if some case study of prediction can be added to the course

創建者 Jonas N

Oct 05, 2018

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

創建者 Miguel C

Dec 08, 2017

The last assigment is really interesting, all the others are really easy

創建者 Maciej W

Sep 07, 2018

Great hands on learning experience to social network analysis in Python

創建者 Harshith S

Jun 24, 2019

Daniel Romero is probably the best instructor in this specialization

創建者 Jesús P S

Jan 22, 2018

Good course but could be improved with realistic scenarios.

創建者 Siwei Y

Sep 21, 2017

老师讲解的非常好 , 逻辑清楚,条理明晰。建议编程作业稍微有点难度。所以扣掉一颗星。 希望越来越好。

創建者 Yang F

Sep 22, 2017

The first three weeks are very well planned.

創建者 Christian E

Mar 27, 2019

Very new on this topic and very interesting

創建者 David W

Oct 12, 2017

Challenging course and great instruction.

創建者 Brian R v K

Oct 23, 2017

Great fun, with practical application.

創建者 Cyrus N P

Jan 24, 2019

Well the subject was really hard.

創建者 Rupert

Jan 23, 2018

Good introduction into graphs!

創建者 Selvakumar

Jun 20, 2018

This is awesome course!

創建者 Nicolas B

Oct 06, 2017

Very good Course.

創建者 Arpit M

Dec 15, 2018

very good course

創建者 Raghunath P

Nov 11, 2018

Great Course!

創建者 Vinit D

Jan 16, 2020

Tough course

創建者 Avi R

Aug 03, 2019

Satisfactory