Continuous Random Variable Course
Gain mastery in continuous random variables for modelling viewer time, estimating parameters, and calculating probabilities to inform content strategies, A/B tests, and retention plans. Transform stats into practical decisions boosting platform success, with focus on real-world application and clear communication.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This course teaches modelling of viewing time using continuous distributions, calculating probabilities and moments, and checking valid pdfs. Learners will estimate parameters, compare models using AIC and BIC, and support decisions with visuals. It covers explaining results simply, improving experiments, setting retention thresholds, and delivering clear insights to leaders.
Elevify advantages
Develop skills
- Model viewing time using continuous pdfs with speed and accuracy.
- Select and fit log-normal, Weibull, gamma, and exponential models to data.
- Calculate probabilities and moments to assess viewer retention risks.
- Estimate parameters using MLE and moments for reliable choices.
- Convert model results into actionable product and strategy insights.
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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