Discrete Random Variable Course
This course equips you to master discrete random variables for analyzing count data in real-world scenarios. You will learn to construct empirical pmfs, fit and validate Binomial, Poisson, and Negative Binomial models using methods like MLE and chi-square tests, quantify uncertainty, and convert probabilistic insights into actionable business recommendations with relevant examples.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain expertise in discrete random variables through a targeted course covering data collection, empirical pmfs, and model selection, fitting, and validation for Binomial, Poisson, and Negative Binomial distributions. Compute probabilities, summarize count data, evaluate goodness-of-fit, measure uncertainty, and deliver clear business insights with practical 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 count data.
- Construct empirical pmfs through sampling, count summarization, and data visualization.
- Validate models with chi-square tests, rootograms, and overdispersion diagnostics.
- Convert probabilities like churn risks into practical 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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