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Continuous Random Variable Course

Continuous Random Variable Course
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.
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. A lot of valuable information.
WiltonCivil Firefighter

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