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Continuous Random Variable Course

Continuous Random Variable Course
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.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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