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 decisions for your platform. This course equips you to apply rigorous methods for better viewer insights and optimised outcomes.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This course teaches modelling of viewing time with continuous distributions, probability and moment calculations, and pdf validation. You will estimate parameters, use AIC and BIC for model comparison, justify selections visually, explain results simply, improve experiments, set retention thresholds, and deliver compelling insights to leaders.
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 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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