Chevron Left
返回到 Applied Social Network Analysis in Python

学生对 University of Michigan 提供的 Applied Social Network Analysis in Python 的评价和反馈

4.6
2,718 个评分

课程概述

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....

热门审阅

VS

Jul 15, 2018

Lectures are very well-designed. Especially, the assignment of week 4 is too good, that give me an overview of how we can apply machine learning in network analysis.

JA

Nov 22, 2020

Great introductory course on graph theory using Networkx. The instructor goes through each algorithm with step-by-step examples, and gives relevant examples at the end of each topic.

筛选依据:

126 - Applied Social Network Analysis in Python 的 150 个评论(共 456 个)

创建者 Juan M

May 31, 2020

Nice, delves on graph theory in quite an intuitive way, with exercises on Python. Can be recommended to a friend

创建者 Yunhong H

Mar 23, 2019

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

创建者 Karamcheti S R H

Dec 9, 2020

Very much satisfied with the course. Explanation is good project is very useful can be shown off in cv/ resume

创建者 Iurii S

Feb 16, 2018

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

创建者 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

创建者 Gabriel M Q

Sep 7, 2023

resolving the second question of the last exam is the proof that you able to be a data scientist. Good course

创建者 Phillip L C

Dec 25, 2018

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

创建者 Yashaswa V

Sep 12, 2021

Intuitive last module of the specialization. Loved the content an could relate to them in practical way too.

创建者 Adryan R A

May 3, 2021

This is one of the most usefull course ive taken. Its really usefull and gave lots of insight about Analysis

创建者 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.

创建者 Vivek R N

Aug 31, 2020

Really amazing course. The instructor is really nice and he explained the concepts in a really nice manner.

创建者 Fernando G M G

Aug 30, 2020

Great course. I enjoyed the whole specialization I am very grateful with Coursera and Michigan University.

创建者 Daniel B

Apr 2, 2019

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

创建者 Edilson S

Nov 25, 2019

Perfect Course! Exactly what I was looking for to deep my understanding in Graph Theory and Practice!

创建者 Michal C

Oct 16, 2017

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

I enjoyed studding it.

创建者 César G

Mar 10, 2022

Great introduction to social network analysis. Well explained lectures and interesting assignments.

创建者 Aya

Feb 26, 2019

The course covered many relevant topics and was very easy to follow and apply to the real world.

创建者 Aaya A

Oct 21, 2021

Very good, clear lectures, with assignments that actually test application of knowledge learned

创建者 Landon M L

Oct 24, 2017

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

创建者 Wenlei Y

Nov 22, 2019

This course really opens my eye, providing a new standpoint from which we visualize "network".

创建者 Ivan S F

Jun 2, 2019

Very very good course. It provides a brief but comprehensive introduction to network analysis.

创建者 Rongshun Z

Dec 21, 2021

A very good combination between ML and the practical usecases. Thanks a lot for the course.

创建者 Benjamin R

Jun 9, 2018

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

创建者 Rocco C

Oct 9, 2017

Very interesting course, thank you. The assignments could have been a bit more challenging.

创建者 Long T B

Oct 27, 2020

I really appreciate Coursera for offering this course. It is very valuable to my research.