Poisson Distribution Course
Master Poisson distribution for modelling rare events, risk assessment, alert thresholds, and rate comparisons across groups. Convert raw timestamps into solid counts with diagnostics for data-driven decisions in mathematical applications. Build skills in foundations, estimation, advanced models, and practical workflows to handle count data effectively.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain a practical route from event timestamps to dependable count models and informed choices. Master Poisson foundations, time windows, rate estimation, diagnostics, and fit tests, then explore options for overdispersion, zero inflation, bursts, plus ready-to-use reporting and workflows for real data.
Elevify advantages
Develop skills
- Poisson modelling expertise: construct, evaluate, and analyse count models efficiently.
- Time-window selection: pick aggregation periods with solid justification.
- Poisson risk calculation: determine event probabilities, peaks, and confidence intervals.
- Count data fit assessment: perform checks, spot overdispersion, and improve models.
- Advanced models for counts: use zero-inflated, Hawkes, and negative binomial methods.
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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