Poisson Distribution Course
Master Poisson distribution methods to model rare events, gauge risks, define alert levels, and compare rates between groups. Convert raw timestamps into trustworthy counts and create checks that support sharp, evidence-based calls in maths work. Build skills for real-world count analysis with practical tools and workflows.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain a quick, hands-on route from event timestamps to solid count models and smart choices. Master strong basics, picking time windows, estimating rates, checking diagnostics, and fit tests, then explore options for overdispersion, zero inflation, bursts, plus ready-to-use reports and processes for your data right away.
Elevify advantages
Develop skills
- Poisson modelling expertise: construct, assess, and explain Poisson count models swiftly.
- Time-window planning: select grouping periods with solid, justified reasons.
- Risk calculation using Poisson: figure event chances, peaks, and confidence limits.
- Count fit checks: perform diagnostics, spot overdispersion, and improve models.
- Advanced count techniques: use zero-inflated, Hawkes, and negative binomial options.
Suggested summary
Before starting, you can change the chapters and 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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