Duration: 2 Days
Overview: Many business needs in the realm of analytics can be addressed using network analysis. Examining data for communities or matrices of co-occurring elements, events or people can be useful in detecting items as diverse as influencers, fraud and communities of buyers. This course provides in-depth exposure to techniques that can be used to model networks within data.
Objectives: At completion, delegates will be ready to effectively deploy these techniques in the discovery of actionable insight within their organisations..
Who: This course is aimed at technical data scientists.
Pre-requisites: An understanding of analytics techniques and basis statistics is assumed.
Outline: The course will explore the following topics through a series of presentation and practical based sessions.
- Creating & Characterising Networks Predictive modelling
- Pattern & Anomaly Detection in Network
- Finding Communities in Networks
- Classiﬁcation & Dynamic Network