Discrete Random Variable Course
This course equips you to handle discrete random variables for practical count data analysis. You will learn to construct, fit, and validate Binomial, Poisson, and Negative Binomial models, assess uncertainty, and convert probabilities into straightforward business decisions using relevant examples.

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 data gathering and empirical pmfs to selecting, fitting, and validating Binomial, Poisson, and Negative Binomial models. Master calculating essential 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 data.
- Construct empirical pmfs through sampling, count summarisation, and data visualisation.
- Validate models with chi-square tests, rootograms, and checks for overdispersion.
- Convert probabilities like churn risks into concrete 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 workload.What our students say
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