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Conditional Probability Course

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

What will I learn?

Gain practical expertise in conditional, joint, and marginal probabilities. Master Bayes’ theorem, rules, confidence intervals, and visualizations. Apply skills to discrete data analysis, reporting, and ethical communication of precise probability insights for stakeholders.

Elevify advantages

Develop skills

  • Master conditional probability calculations including P(A), P(B), P(A∩B), and P(A|B).
  • Build synthetic datasets with realistic marginal and conditional frequencies.
  • Create visualizations like contingency tables, bar charts, and mosaic plots.
  • Communicate risks using relative risk, base rates, and uncertainty clearly.
  • Write concise, decision-focused probability reports.

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
Great course. Lots of valuable information.
WiltonCivil Firefighter

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