Network Data Science with NetworkX and Python

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在此指导项目中,您将:

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中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

Data ScienceSocial Network AnalysisPython ProgrammingNetwork AnalysisNetwork Science

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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