Conditional Probability Course
This course equips you with practical expertise in conditional probability through interactive examples, sharp visuals, and concise reports tailored for decision-makers. Explore modelling discrete data, assessing risks, clarifying uncertainties, and converting stats into reliable, ethical choices for everyday business scenarios.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on skills in conditional probability to confidently calculate and explain conditional, joint, and marginal probabilities. Master essential rules, Bayes’ theorem, confidence intervals, and effective visuals. Apply them to real-world discrete data using reporting tools and ethical messaging for clear, actionable insights to stakeholders.
Elevify advantages
Develop skills
- Master conditional probability calculations like P(A), P(B), P(A∩B), and P(A|B) quickly.
- Construct realistic synthetic datasets with proper marginal and conditional frequencies.
- Produce effective visuals such as contingency tables, bar charts, and mosaic plots swiftly.
- Explain risks clearly, covering relative risk, base rates, and uncertainty to leaders.
- Craft precise, actionable probability reports for stakeholders.
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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