Continuous Random Variable Course
Gain mastery over continuous random variables to model viewing time, estimate parameters, and calculate probabilities that inform content strategies, A/B testing, and retention efforts—transforming stats into impactful platform decisions with clarity and confidence.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches modeling of viewing time via continuous distributions, probability and moment calculations, pdf validation, parameter estimation, model comparison using AIC and BIC, visual justifications, plain-language translation of results, experiment design, retention optimization, and persuasive presentations 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 models to data.
- Calculate key probabilities and moments to assess viewer retention risk.
- Estimate parameters using MLE and moments for reliable decisions.
- Convert model results into actionable product and content 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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