Continuous Random Variable Course
Gain mastery over continuous random variables to model viewing times, estimate parameters accurately, and compute probabilities essential for content strategies, A/B testing, and retention optimisation. Transform statistical concepts into practical, impactful decisions that enhance your platform's performance and viewer engagement.

from 4 to 360h 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 will estimate parameters, compare models via AIC and BIC, justify selections with visuals, explain results simply, improve experiments, set retention thresholds, and deliver compelling insights 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 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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