Discrete Random Variable Course
This course equips you to handle discrete random variables for count data analysis. You will construct empirical pmfs, fit and validate Binomial, Poisson, and Negative Binomial distributions, compute probabilities, assess uncertainty, and convert statistical findings into straightforward business recommendations using real-world scenarios.

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 business-focused examples.
Elevify advantages
Develop skills
- Model count data by fitting Binomial, Poisson, and Negative Binomial distributions efficiently.
- 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 clear 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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