Discrete Random Variable Course
This course equips you to handle discrete random variables for everyday count data analysis. You will construct, adjust, and verify Binomial, Poisson, and Negative Binomial models, assess uncertainty levels, and convert probability results into straightforward, useful 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 probability mass functions to selecting, fitting, and checking Binomial, Poisson, and Negative Binomial distributions. You will calculate essential probabilities, analyze 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 by fitting Binomial, Poisson, and Negative Binomial distributions quickly and accurately.
- Estimate parameters using maximum likelihood and method of moments on actual purchase counts.
- Construct empirical pmfs by planning samples, tallying counts, and graphing discrete distributions.
- Validate models with chi-square tests, rootograms, and checks for overdispersion.
- Convert probabilities like churn risks and zero-purchase rates into concrete business steps.
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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