Conditional Probability Course
This course equips you with essential skills to master conditional probability through practical exercises, clear visualisations, and concise reporting. You will learn to model discrete data, compute joint and marginal probabilities, apply Bayes’ theorem, quantify risks, interpret confidence intervals, and communicate uncertainty ethically for informed decision-making in professional environments.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Gain practical expertise in conditional probability, mastering computations for conditional, joint, and marginal probabilities, Bayes’ theorem, and confidence intervals. Develop skills in creating visualisations, working with discrete datasets, and producing ethical, stakeholder-ready reports for precise probability 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.
- Produce clear visuals like contingency tables, bar charts, and mosaic plots.
- Communicate risks effectively, covering relative risk, base rates, and uncertainty.
- Craft 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.What our students say
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