Poisson Distribution Course
Gain expertise in Poisson distribution methods to model rare events, gauge risks, define alert levels, and compare rates between groups. Convert raw timestamps into trustworthy counts and create checks that support sharp, evidence-based calls in maths work. Build skills for real-world count analysis with practical tools and diagnostics.

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 tackle overdispersion, zero inflation, bursts, plus ready-to-use reports and flows for your data right away.
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.
- Perform fit checks on counts: conduct 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 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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