Poisson Distribution Course
This course equips you with essential Poisson distribution techniques to model rare events, estimate risks, establish alert thresholds, and compare rates across groups. Transform raw event timestamps into dependable count models, perform robust diagnostics, and make informed, data-driven decisions in statistical analysis.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain a practical foundation in Poisson distribution, covering event rate estimation, time-window selection, model diagnostics, goodness-of-fit tests, and advanced alternatives like zero-inflated and negative binomial models for handling overdispersion and bursts, with ready-to-use workflows for real-world data analysis.
Elevify advantages
Develop skills
- Master Poisson modeling: construct, evaluate, and interpret count models efficiently.
- Design optimal 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 approaches.
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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