Poisson Distribution Course
Gain expertise in Poisson distribution for modelling rare events, assessing risks, setting alerts, and comparing rates. Transform timestamps into dependable counts with diagnostics for informed, evidence-based decisions in maths practice. Ideal for practical applications in data analysis and decision-making.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course provides a quick, hands-on guide from event timestamps to solid count models and smart choices. You'll cover 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 workflows for your data.
Elevify advantages
Develop skills
- Master Poisson models: build, assess, and explain count models quickly.
- Design time windows: select aggregation periods with solid reasoning.
- Estimate risks using Poisson: calculate event probabilities, peaks, and confidence limits.
- Perform goodness-of-fit tests: diagnose issues, spot overdispersion, and improve models.
- Use advanced models: implement 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 workloadWhat our students say
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