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Advanced Graph Theory Course

Advanced Graph Theory Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course equips you with hands-on skills to tackle complex networks confidently. Master computing structural metrics, centrality, spectral analysis, community detection, and robustness against failures or spreads. Using real datasets and efficient workflows, gain expertise in algorithms and interpretations for solid network analysis.

Elevify advantages

Develop skills

  • Master centrality: calculate, evaluate, and apply key measures swiftly.
  • Harness spectral methods: leverage eigenvalues for connectivity, mixing, and outbreak analysis.
  • Excel in community detection: implement Louvain, SBM, and spectral methods on datasets.
  • Model network resilience: simulate disruptions, attacks, and disease propagation.
  • Scale up analysis: utilise graph tools for metrics on vast sparse networks.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload
Workload: between 4 and 360 hours

What our students say

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SilviaNurse
Very great course. Lots of valuable information.
WiltonCivil Firefighter

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