Discrete Random Variable Course
This course equips you to handle discrete random variables for everyday count data analysis. You will construct, fit, and verify Binomial, Poisson, and Negative Binomial models, assess uncertainty levels, and convert probability results into straightforward, actionable business recommendations that drive decisions.
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 gathering data and creating empirical pmfs to selecting, fitting, and checking Binomial, Poisson, and Negative Binomial models. You will calculate 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 quickly and accurately.
- Estimate parameters using MLE and method of moments on actual purchase count datasets.
- Construct empirical pmfs by planning samples, tallying counts, and graphing discrete distributions.
- Validate models with chi-square tests, rootograms, and checks for overdispersion.
- Convert probabilities into business strategies, like addressing churn risks and zero-purchase probabilities.
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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