Probability Course
Build essential probability skills for stats experts. Use conditional probability, Bayes’ theorem, reliability and survival analysis, plus dependence models to develop, validate, and clearly explain solid statistical solutions for real-world applications. Master tools to compute system reliabilities, handle dependencies, and produce rigorous reports with proofs and checks.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain strong skills in conditional probability, independence, reliability systems, and lifetime data analysis. Compute failure and survival probabilities, manage dependencies, use exponential distributions, and apply order statistics. Create precise derivations and reports that explain model choices, assumptions, and validation for practical technical tasks.
Elevify advantages
Develop skills
- Master conditional probability using Bayes and total probability rules quickly.
- Model reliability systems and calculate at-least-k success probabilities easily.
- Analyse lifetime data with exponential models and order statistics precisely.
- Manage dependent parts using bivariate Bernoulli models and bounds.
- Write clear reports with proofs, validations, and variance computations.
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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