Continuous Random Variable Course
Master continuous random variables to model viewing time, estimate key parameters, and compute probabilities that drive content, A/B testing, and retention strategy—turning statistical theory into clear, high-impact decisions for your platform.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Continuous Random Variable Course shows you how to model viewing time with continuous distributions, compute probabilities and moments, and verify valid pdfs. You will estimate parameters, compare models with AIC and BIC, and justify choices with clear visuals. Learn to translate results into plain language, design better experiments, optimize retention thresholds, and present concise, persuasive insights to decision-makers.
Elevify advantages
Develop skills
- Model viewing time with continuous pdfs: fast, rigorous application.
- Choose and fit log-normal, Weibull, gamma, and exponential models to data.
- Compute key probabilities and moments to quantify viewer retention risk.
- Estimate parameters via MLE and moments for quick, defensible decisions.
- Translate model outputs into clear product and content strategy insights.
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
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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