Continuous Random Variable Course
Gain mastery in continuous random variables to model viewing times, estimate parameters accurately, and compute probabilities that inform content strategies, A/B testing, and retention efforts—transforming statistical concepts into practical, impactful decisions for your platform. This course equips you with tools to analyse data rigorously and communicate findings effectively to stakeholders.

4 to 360 hours flexible workload
valid certificate 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. Learners estimate parameters, compare models via AIC and BIC, justify selections with visuals, interpret results plainly, enhance experiment design, set retention thresholds, and deliver 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 reliable 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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