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Continuous Random Variable Course

Continuous Random Variable Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course teaches modelling of viewing time using continuous distributions, calculating probabilities and moments, validating pdfs, estimating parameters, comparing models via AIC and BIC, interpreting results visually, communicating findings simply, designing improved experiments, setting retention thresholds, and delivering impactful 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 distributions to datasets.
  • Calculate probabilities and moments to assess viewer retention risks effectively.
  • Estimate parameters using MLE and method of moments for reliable outcomes.
  • Convert statistical results into actionable strategies for products and content.

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
Very great course. Lots of rich information.
WiltonCivil Firefighter

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