Continuous Random Variable Course
Gain mastery in 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. Focus on practical modelling, model selection with AIC/BIC, and communicating insights effectively.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course teaches modelling viewing time with continuous distributions, calculating probabilities and moments, validating pdfs, estimating parameters, comparing models using AIC and BIC, visualising results, interpreting findings in plain language, designing improved experiments, setting retention thresholds, and delivering persuasive 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 models to data.
- Calculate key probabilities and moments to assess viewer retention risks.
- 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 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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