Conditional Probability Course
This course builds expertise in conditional probability through hands-on practice with discrete data, clear visualizations like contingency tables and mosaic plots, and Bayes’ theorem. Learners will quantify risks, explain uncertainties using base rates and relative risk, and produce concise reports that support ethical, decision-ready outcomes in professional settings.

from 4 to 360h 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 Bayes’ theorem, confidence intervals, and visualizations, then apply them to real discrete data with reporting templates and ethical communication for precise stakeholder insights.
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 effective visuals such as contingency tables, bar charts, and mosaic plots.
- Communicate risks clearly, 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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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