Discrete Random Variable Course
This course equips you to handle discrete random variables for everyday count data analysis. You'll 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.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain mastery 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. You'll compute essential probabilities, analyse count data, evaluate model fit, measure uncertainty, and present practical insights to stakeholders with business-focused examples.
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 through smart sampling, count summarisation, and clear visualisation of discrete data.
- Validate your models with chi-square tests, rootograms, and checks for overdispersion.
- Convert probability outcomes like churn risks and zero-purchase probabilities into practical business strategies.
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 workloadWhat our students say
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