Conditional Probability Course
This course equips you with practical expertise in conditional probability through interactive examples, intuitive 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 challenges.

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 visualisations. Apply these with real-world discrete data, structured reporting, and ethical messaging to provide accurate, actionable probability analysis for stakeholders.
Elevify advantages
Develop skills
- Master conditional probability calculations: quickly compute P(A), P(B), P(A∩B), and P(A|B).
- Construct realistic synthetic datasets with accurate marginal and conditional frequencies.
- Produce effective visualisations: contingency tables, bar charts, and mosaic plots swiftly.
- Explain risks clearly: convey relative risk, base rates, and uncertainty to leaders.
- Craft precise reports: deliver succinct, actionable probability summaries.
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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