Network Data Science with NetworkX and Python

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In this Free Guided Project, you will:

Load data into graphs and subgraphs

VIsualize network structures and centrality metrics

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

Showcase this hands-on experience in an interview

Clock2 hours (1 hour for the guided project)
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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.

Requirements

Feel at easy with Python dictionaries

Optionally, familiarity with Jupyter notebooks and pandas / matplotlib

Skills you will develop

Data ScienceSocial Network AnalysisPython ProgrammingNetwork AnalysisNetwork Science

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  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

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Reviews

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Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.