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

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 pdf validation. Learners estimate parameters, compare models using AIC and BIC, justify selections with visuals, explain results simply, improve experiments, set retention thresholds, and deliver persuasive 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 essential probabilities and moments to assess viewer retention risks.
- Estimate parameters through MLE and moments for reliable decisions.
- Convert model results into straightforward 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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