Discrete Random Variable Course
Master discrete random variables for real-world count data. Learn to build, fit, and validate Binomial, Poisson, and Negative Binomial models, quantify uncertainty, and turn probabilities into clear, actionable business insights.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Master discrete random variables with a focused course that takes you from data collection and empirical pmfs to choosing, fitting, and validating Binomial, Poisson, and Negative Binomial models. Learn to compute key probabilities, summarize count data, assess goodness-of-fit, quantify uncertainty, and clearly communicate actionable findings to stakeholders using practical, business-oriented examples.
Elevify advantages
Develop skills
- Model count data: fit Binomial, Poisson, and Negative Binomial fast and reliably.
- Estimate parameters: apply MLE and moments to real-world purchase count data.
- Build empirical pmfs: design samples, summarize counts, and visualize discrete data.
- Validate models: run chi-square tests, rootograms, and overdispersion checks.
- Translate probabilities: turn churn risks and zero-purchase rates into business actions.
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 workloadWhat our students say
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