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 trustworthy counts and create checks that support clear, evidence-based decisions in maths work. Build skills for real-world count data analysis with practical tools and workflows.

from 4 to 360h flexible workload
certificate valid 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. Learn strong basics, picking time windows, estimating rates, checking diagnostics, and fit tests, then explore options for overdispersion, zero inflation, and bursts, with ready-to-use report templates and steps for your data.
Elevify advantages
Develop skills
- Master Poisson models: construct, assess, and explain count models quickly.
- 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 workload.What our students say
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