Discrete Random Variable Course
Master discrete random variables for real-world count data analysis. Learn to construct empirical pmfs, fit and validate Binomial, Poisson, and Negative Binomial models, quantify uncertainty, and transform probabilities into actionable business insights using practical examples.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Master discrete random variables through a focused course progressing from data collection and empirical pmfs to selecting, fitting, and validating Binomial, Poisson, and Negative Binomial models. Compute key probabilities, summarise count data, assess goodness-of-fit, quantify uncertainty, and communicate actionable findings to stakeholders with business-oriented examples.
Elevify advantages
Develop skills
- Model count data: fit Binomial, Poisson, and Negative Binomial reliably.
- Estimate parameters: apply MLE and moments to purchase count data.
- Build empirical pmfs: design samples, summarise counts, and visualise 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 workload.What our students say
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