Continuous Random Variable Course
Gain mastery in continuous random variables to model viewing times, estimate parameters, and calculate probabilities that inform content strategies, A/B testing, and retention efforts, transforming statistical concepts 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 using continuous distributions, probability and moment calculations, and validation of pdfs. Learners estimate parameters, compare models via AIC and BIC, justify selections visually, communicate results plainly, design improved experiments, set retention thresholds, and deliver 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 essential 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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