Poisson Distribution Course
This course equips you to model rare events using Poisson distribution, estimate risks, set alert thresholds, and compare rates across groups. Transform raw timestamps into dependable counts, apply diagnostics, and make data-driven decisions in mathematical and statistical applications, ideal for professionals handling event data.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain practical skills in Poisson distribution for modelling event counts from timestamps. Master foundations, time windows, rate estimation, diagnostics, goodness-of-fit tests, and advanced models for overdispersion, zero inflation, bursts, with ready-to-use reporting templates for real-world data analysis.
Elevify advantages
Develop skills
- Master Poisson modelling: build, compare, and interpret count models efficiently.
- Design time windows: select aggregation periods with solid justification.
- Estimate risks using Poisson: calculate event probabilities, spikes, and confidence intervals.
- Perform goodness-of-fit tests: diagnose issues like overdispersion and improve models.
- Use advanced models: implement zero-inflated, Hawkes, and negative binomial techniques.
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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