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 models using MLE and moments methods, perform goodness-of-fit tests like chi-square and rootograms, quantify uncertainty, and convert probabilities into actionable business recommendations through real-world scenarios.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain mastery over discrete random variables in this targeted course, progressing from data gathering and empirical pmfs to selecting, fitting, and validating Binomial, Poisson, and Negative Binomial models. 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 by fitting Binomial, Poisson, and Negative Binomial distributions efficiently.
- Estimate parameters using MLE and method of moments on purchase data.
- Construct empirical pmfs from samples, summarise counts, and visualise data.
- Validate models with chi-square tests, rootograms, and overdispersion analysis.
- 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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