Continuous Random Variable Course
Gain expertise in continuous random variables for modelling viewing time, estimating parameters, and calculating probabilities essential for content strategy, A/B testing, and retention optimisation. Transform statistical concepts into actionable, high-impact decisions that enhance platform performance and viewer engagement.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This course teaches modelling of viewing time using continuous distributions, probability and moment calculations, and validation of pdfs. Participants will estimate parameters, evaluate models using AIC and BIC, and support decisions with visuals. It covers translating findings into simple terms, improving experiment design, setting retention thresholds, and delivering impactful 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 distributions to data.
- Calculate probabilities and moments to assess viewer retention risks accurately.
- Estimate parameters using MLE and method of 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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