Continuous Random Variable Course
Gain mastery in continuous random variables to model viewing times, estimate parameters, and calculate probabilities that inform content strategies, A/B testing, and retention efforts—transforming stats into impactful decisions for your platform. This course equips you to apply rigorous methods for better viewer insights and optimised outcomes.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This course teaches modelling of viewing time via continuous distributions, probability and moment calculations, pdf validation, parameter estimation, model comparison using AIC and BIC, visual justifications, plain-language translation of results, experiment design, retention optimisation, and persuasive presentations 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 models to data.
- Calculate key probabilities and moments to assess viewer retention risks.
- Estimate parameters using MLE and 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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Course in PDF