Poisson Distribution Course
This course equips you with essential Poisson distribution techniques to model rare events, estimate risks, set alert thresholds, and compare rates across groups. Transform raw timestamps into dependable count models, perform diagnostics, and make data-driven decisions in statistical analysis, covering basics to advanced alternatives like zero-inflated and negative binomial models.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Gain practical skills in Poisson distribution for modelling event counts from timestamps. Learn foundations, time windows, rate estimation, diagnostics, goodness-of-fit tests, and advanced models for overdispersion, zero inflation, bursts, plus ready-to-use reporting workflows for real data analysis.
Elevify Advantages
Develop Skills
- Master Poisson modelling: construct, evaluate, and interpret count models efficiently.
- Design time windows: select aggregation periods with solid justification.
- Estimate risks using Poisson: calculate event probabilities, anomalies, and confidence intervals.
- Conduct goodness-of-fit tests: diagnose issues like overdispersion and improve models.
- Implement advanced models: use zero-inflated, Hawkes, and negative binomial for complex counts.
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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