Continuous Random Variable Course
Gain expertise in continuous random variables for modelling viewer session times, estimating parameters accurately, computing essential probabilities and moments, and applying these to enhance content strategies, A/B tests, and retention efforts, transforming complex stats into actionable business decisions for your digital platform.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches modelling of viewing time using continuous distributions, calculating probabilities and moments, validating pdfs, estimating parameters, comparing models via AIC and BIC, interpreting results visually, communicating findings simply, designing improved experiments, setting retention thresholds, and delivering impactful insights to stakeholders.
Elevify advantages
Develop skills
- Model viewing time using continuous pdfs with speed and precision.
- Select and fit log-normal, Weibull, gamma, and exponential distributions to datasets.
- Calculate probabilities and moments to assess viewer retention risks effectively.
- Estimate parameters using MLE and method of moments for reliable outcomes.
- Convert statistical results into actionable strategies for products and content.
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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