Network Data Science with NetworkX and Python

4.5
60 個評分
提供方
Coursera Project Network
3,865 人已註冊
在此指導項目中,您將:

Load data into graphs and subgraphs

VIsualize network structures and centrality metrics

Add, remove and manipulate the nodes and edges in a graph

Clock2 hours (1 hour for the guided project)
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

In this 1-hour long project-based course, you are going to be able to perform centrality network analysis and visualization on educational datasets, to generate different kinds of random graphs which represents social networks, and to manipulate the graph and subgraph structures, allowing you to break and get insights on complex structures. This guided project is for people who want to incorporate network data science skills into their technology portfolio. This is a topic of interest to researchers, marketers, consultants and practitioners associated with the knowledge areas of social science, marketing, social media, operational research and complexity science. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培養的技能

Data ScienceSocial Network AnalysisPython ProgrammingNetwork AnalysisNetwork Science

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Load graphs through tabular files

  2. Load and write graphs through tabular files

  3. Summarize graphs through centrality metrics

  4. Generate random graphs

  5. Add and remove nodes and edges from graphs

  6. Manipulate nodes and edges attributes

  7. Create and visualize sub-graphs

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

審閱

來自NETWORK DATA SCIENCE WITH NETWORKX AND PYTHON的熱門評論

查看所有評論

常見問題

常見問題

還有其他問題嗎?請訪問 學生幫助中心