Continuous Random Variable Course
Master 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 decisions for your platform. This course equips you with tools to analyse viewer behaviour rigorously and communicate findings persuasively to stakeholders.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course teaches modelling of viewing times using continuous distributions, probability and moment calculations, and validation of probability density functions. You will learn parameter estimation, model comparison via AIC and BIC, and justification through visuals. Additionally, it covers translating results into everyday language, improving experiment design, setting retention thresholds, and delivering compelling insights to leaders.
Elevify advantages
Develop skills
- Model viewing time using continuous probability density functions with speed and precision.
- Select and fit log-normal, Weibull, gamma, and exponential distributions to data.
- Calculate essential probabilities and moments to assess viewer retention risks.
- Estimate parameters using maximum likelihood and method of moments for robust decisions.
- Convert model results into actionable 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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