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Discrete Random Variable Course

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

What will I learn?

Gain mastery in discrete random variables through this targeted course, progressing from data gathering and empirical pmfs to selecting, fitting, and validating Binomial, Poisson, and Negative Binomial models. You'll compute essential probabilities, analyse count data, evaluate model fit, measure uncertainty, and present practical insights to stakeholders with business-focused examples.

Elevify advantages

Develop skills

  • Model count data effectively by fitting Binomial, Poisson, and Negative Binomial distributions quickly and accurately.
  • Estimate model parameters using MLE and method of moments on actual purchase count datasets.
  • Construct empirical pmfs through smart sampling, count summarisation, and clear visualisation of discrete data.
  • Validate your models with chi-square tests, rootograms, and checks for overdispersion.
  • Convert probability outcomes like churn risks and zero-purchase probabilities into practical business 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

Your lessons 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 change 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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