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

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This focused course equips you to master discrete random variables, starting from data collection and empirical pmfs, progressing 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 using relatable business examples.
Elevify advantages
Develop skills
- Model count data using Binomial, Poisson, and Negative Binomial distributions reliably.
- Estimate parameters with MLE and moments for purchase counts.
- Build empirical pmfs from samples and visualize discrete data.
- Validate models via chi-square tests, rootograms, and overdispersion checks.
- Convert probabilities into practical business actions like churn management.
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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