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Conditional Probability Course

Conditional Probability Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

Gain practical skills in conditional probability to confidently compute and interpret conditional, joint, and marginal probabilities. Master key rules, Bayes’ theorem, confidence intervals, and effective visualisations. Apply these with real-world discrete data, using reporting templates and ethical communication for precise, stakeholder-ready insights.

Elevify advantages

Develop skills

  • Master conditional probability calculations including P(A), P(B), P(A∩B), and P(A|B).
  • Construct synthetic datasets with realistic marginal and conditional frequencies.
  • Produce clear visualisations such as contingency tables, bar charts, and mosaic plots.
  • Communicate risks effectively, covering relative risk, base rates, and uncertainty.
  • Write concise, actionable probability reports for decision-makers.

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
Really great course. Lots of valuable information.
WiltonCivil Firefighter

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