Continuous Random Variable Course
Gain mastery in continuous random variables to model viewing time, estimate parameters, and calculate probabilities that inform content strategies, A/B testing, and retention plans—transforming stats into impactful decisions for your platform. This course equips you to apply distributions like log-normal and Weibull, validate pdfs, use AIC/BIC for model selection, and communicate insights clearly to stakeholders.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches modelling of viewing time with continuous distributions, probability and moment calculations, pdf validation, parameter estimation, model comparison via AIC and BIC, visual justifications, plain-language translation of results, experiment design, retention optimisation, and persuasive presentations to leaders.
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 straightforward product and content strategies.
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 workloadWhat our students say
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