Continuous Random Variable Course
Gain mastery in continuous random variables for modeling viewing time, estimating parameters, and calculating probabilities to inform content strategies, A/B testing, and retention efforts. Transform statistical concepts into actionable, high-impact decisions that enhance platform performance and viewer engagement.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
This course teaches modeling of viewing time using continuous distributions, probability and moment calculations, and pdf validation. Participants estimate parameters, compare models using AIC and BIC, justify selections with visuals, communicate results plainly, design improved experiments, set retention thresholds, and deliver persuasive insights to stakeholders.
Elevify advantages
Develop skills
- Model viewing time using continuous probability density functions with speed and precision.
- Select and fit log-normal, Weibull, gamma, and exponential distributions to real data.
- Calculate essential probabilities and moments to assess viewer retention risks accurately.
- Estimate parameters through maximum likelihood and method of moments for reliable decisions.
- Convert model results into actionable insights for product and content 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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