Poisson Distribution Course
Gain expertise in Poisson distribution methods to model infrequent events, assess risks, define alert levels, and compare rates between groups. Convert raw timestamps into dependable counts and create checks that support clear, evidence-based choices in stats work. Build skills for real-world count data 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 route from event timestamps to solid count models and sound decisions. You'll cover strong basics, picking time windows, estimating rates, checks, and fit tests, then tackle options for overdispersion, zero inflation, and bursts, with ready-to-use report templates and processes for your data.
Elevify advantages
Develop skills
- Poisson modelling expertise: construct, assess, and explain Poisson count models swiftly.
- Time-window planning: select grouping periods with solid, justified reasons.
- Risk assessment using Poisson: calculate event probabilities, peaks, and confidence limits.
- Fit checks for counts: perform diagnostics, spot overdispersion, and improve models.
- Advanced count modelling: use 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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