Poisson Distribution Course
Gain expertise in Poisson distribution techniques to model infrequent events, assess risks, establish alert levels, and compare rates between groups. Transform raw timestamps into dependable counts and create diagnostics that support clear, evidence-based decisions in mathematical applications. This course provides essential tools for practical count data analysis in New Zealand contexts.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Poisson Distribution Course offers a quick, hands-on route from event timestamps to solid count models and informed choices. You'll cover strong theoretical basics, picking time windows, estimating rates, running checks, and fit tests, then explore options for overdispersion, zero inflation, and event bursts, including ready-to-use reporting templates and processes for your data.
Elevify advantages
Develop skills
- Master Poisson modelling: build, compare, and interpret Poisson count models quickly.
- Design time windows: select aggregation periods with solid, justifiable reasons.
- Estimate risks using Poisson: calculate event probabilities, spikes, and confidence intervals.
- Assess goodness-of-fit for counts: perform diagnostics, spot overdispersion, and improve models.
- Use advanced count models: implement zero-inflated, Hawkes, and negative binomial options.
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.What our students say
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