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 checks that support clear, evidence-based decisions in maths practice. Build skills for practical use in data analysis and decision-making across various fields.

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. You'll cover strong basics, picking time windows, estimating rates, checks, and fit tests, then explore options for overdispersion, zero inflation, bursts, plus ready templates and steps for real data right away.
Elevify advantages
Develop skills
- Master Poisson models: create, assess, and explain count models quickly.
- Design time windows: select grouping periods with solid reasons.
- Estimate risks using Poisson: calculate event chances, peaks, and confidence limits.
- Fit checks for counts: perform tests, spot overdispersion, and improve models.
- Use advanced count 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 workload.What our students say
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