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 validate 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 mastery over discrete random variables through this targeted course, progressing from gathering data and creating empirical pmfs to selecting, fitting, and verifying Binomial, Poisson, and Negative Binomial models. You will compute essential probabilities, analyse count data, evaluate model fit, measure uncertainty, and effectively share practical insights with stakeholders using real business scenarios.
Elevify advantages
Develop skills
- Model count data effectively by fitting Binomial, Poisson, and Negative Binomial distributions quickly and accurately.
- Estimate model parameters using MLE and method of moments on actual purchase count datasets.
- Construct empirical pmfs by planning samples, tallying counts, and visualising discrete datasets.
- Validate models with chi-square tests, rootograms, and checks for overdispersion.
- Convert probability outcomes like churn risks and zero-purchase probabilities into concrete 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 workload.What our students say
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