Discrete Random Variable Course
Gain expertise in discrete random variables for analysing count data in business contexts. This course teaches building empirical pmfs, fitting and validating Binomial, Poisson, and Negative Binomial models, computing probabilities, assessing uncertainty, and delivering clear insights to stakeholders using real-world examples.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This focused course on discrete random variables guides you from collecting data and creating empirical pmfs to selecting, fitting, and validating Binomial, Poisson, and Negative Binomial models. You will compute essential probabilities, summarise count data, evaluate model fit, measure uncertainty, and present findings effectively to stakeholders with business-relevant examples.
Elevify advantages
Develop skills
- Model count data using Binomial, Poisson, and Negative Binomial distributions reliably.
- Estimate parameters with MLE and moments for purchase count data.
- Build empirical pmfs by sampling, summarising counts, and visualising data.
- Validate models through chi-square tests, rootograms, and overdispersion checks.
- Convert probabilities like churn risks into practical business decisions.
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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