Discrete Random Variable Course
This course equips you to handle discrete random variables for practical count data analysis. You will learn to 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 probability results into straightforward business decisions and actions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain mastery over 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. Compute essential probabilities, analyse count data, evaluate model fit, measure uncertainty, and deliver clear, 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 model parameters using maximum likelihood and method of moments on actual count datasets.
- Construct empirical pmfs through effective sampling, count summarisation, and data visualisation.
- Validate models with chi-square tests, rootograms, and checks for overdispersion.
- Convert probability outputs like churn risks into clear, actionable 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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