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Discrete Random Variable Course

Discrete Random Variable Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Gain expertise in discrete random variables through this targeted course, progressing from gathering data and creating empirical probability mass functions to selecting, fitting, and checking Binomial, Poisson, and Negative Binomial distributions. You will calculate essential probabilities, analyze count data, evaluate model fit, measure uncertainty, and effectively share practical insights with stakeholders using real business scenarios.

Elevify advantages

Develop skills

  • Model count data by fitting Binomial, Poisson, and Negative Binomial distributions quickly and accurately.
  • Estimate parameters using maximum likelihood and method of moments on actual purchase counts.
  • Construct empirical pmfs by planning samples, tallying counts, and graphing discrete distributions.
  • Validate models with chi-square tests, rootograms, and checks for overdispersion.
  • Convert probabilities like churn risks and zero-purchase rates into concrete business steps.

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

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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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