Discrete Random Variable Course
Master discrete random variables fi handle real-world count data like a pro. Dis course teach yuh how fi build, fit, and validate Binomial, Poisson, and Negative Binomial models, quantify uncertainty proper, and turn dem probabilities into straightforward business insights weh everybody can act pon.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Get a solid grip on discrete random variables in dis course, starting from gathering data and building empirical pmfs right up to selecting, fitting, and checking Binomial, Poisson, and Negative Binomial models. You go learn how fi compute key probabilities, sum up count data, check goodness-of-fit, measure uncertainty, and share clear, useful findings wid stakeholders using real business examples.
Elevify advantages
Develop skills
- Model count data: fit Binomial, Poisson, and Negative Binomial quick and solid.
- Estimate parameters: use MLE and moments pon real purchase count data.
- Build empirical pmfs: design samples, sum counts, and visualize discrete data.
- Validate models: run chi-square tests, rootograms, and check fi overdispersion.
- Translate probabilities: change churn risks and zero-purchase rates into business moves.
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 are saying
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