Discrete Random Variable Course
This course equips you to master discrete random variables for handling real-world count data. You will learn to construct, fit, and validate Binomial, Poisson, and Negative Binomial models, assess uncertainty, and convert probabilities into straightforward, actionable business recommendations using relevant examples.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Gain expertise in discrete random variables through this targeted course, progressing from data gathering and empirical pmfs to selecting, fitting, and validating Binomial, Poisson, and Negative Binomial models. Acquire skills to calculate essential probabilities, analyse count data, evaluate model fit, measure uncertainty, and effectively present practical insights to stakeholders with business-focused examples.
Elevify Advantages
Develop Skills
- Model count data by fitting Binomial, Poisson, and Negative Binomial distributions efficiently and accurately.
- Estimate parameters using MLE and method of moments on actual purchase count datasets.
- Construct empirical pmfs by planning samples, tallying counts, and visualising discrete distributions.
- Validate models with chi-square tests, rootograms, and checks for overdispersion.
- Convert probabilities into business decisions, such as addressing churn risks and zero-purchase probabilities.
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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