Discrete Random Variable Course
This course equips you to handle discrete random variables for everyday count data analysis. You will learn to construct, fit, and verify Binomial, Poisson, and Negative Binomial models, assess uncertainty levels, and convert probability results into straightforward, actionable business recommendations that drive decisions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in discrete random variables through this targeted course, progressing from gathering data and creating empirical pmfs to selecting, fitting, and checking Binomial, Poisson, and Negative Binomial models. Master calculating vital probabilities, analysing count data, evaluating model fit, measuring uncertainty, and presenting practical insights to stakeholders with real business examples.
Elevify advantages
Develop skills
- Model count data by fitting Binomial, Poisson, and Negative Binomial distributions quickly 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 like churn risks and zero-purchase rates into practical business strategies.
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 workloadWhat our students say
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