Poisson Distribution Course
Gain expertise in Poisson distribution methods to model rare events, assess risks, define alert levels, and compare rates between groups. Convert raw timestamps into dependable counts, create diagnostics, and make clear, evidence-based decisions in maths practice. Build skills for practical applications in counting events reliably.

from 4 to 360h flexible workload
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. Learners cover strong basics, picking time windows, estimating rates, checking diagnostics, and fit tests, then explore options for overdispersion, zero inflation, bursts, plus ready reporting tools and steps for real data use.
Elevify advantages
Develop skills
- Master Poisson models: construct, assess, and explain count models swiftly.
- Design time windows: select grouping periods with solid reasoning.
- Estimate risks using Poisson: calculate event chances, peaks, and confidence limits.
- Check fit for counts: perform tests, spot overdispersion, and improve models.
- Use advanced models: implement zero-inflated, Hawkes, and negative binomial options.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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