Conditional Probability Course
This course builds expertise in conditional probability through hands-on practice with discrete data, clear visualisations like contingency tables and mosaic plots, and concise reporting. Learners will compute probabilities, apply Bayes’ theorem, quantify risks including relative risk and base rates, explain uncertainty ethically, and produce decision-focused summaries suitable for managers in everyday scenarios.

4 to 360 hours 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 key rules, Bayes’ theorem, confidence intervals, and effective visualisations. Apply these with real-world discrete data, using reporting templates and ethical communication for precise, stakeholder-ready insights.
Elevify advantages
Develop skills
- Master conditional probability calculations including P(A), P(B), P(A∩B), and P(A|B).
- Construct synthetic datasets with realistic marginal and conditional frequencies.
- Produce clear visualisations such as contingency tables, bar charts, and mosaic plots.
- Communicate risks effectively, 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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses come with a certificate?
Are the courses free?
What is the duration of the courses?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an online course and how does it work?
PDF Course