Probability Theory Basics
Curso
895 Alunos já inscritos- Grasp the foundational elements of probability theory and its properties.
- Gain the ability to calculate the probability of complex events using geometrical probability.
- Understand discrete and continuous distributions, such as binomial, Poisson, and Gaussian distributions.
- Explore the concepts of covariance and correlation to measure statistical relationships.
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Existem 5 módulos neste curso
Probability theory is a fundamental branch of mathematics that deals with the study of uncertainty and randomness. It provides a framework for understanding and quantifying uncertainty in various fields, including statistics, data analysis, machine learning, finance, physics, and more.- Stochastic Experiment and Random EventPré-visualização
- Probability and It's PropertiesPré-visualização
- Geometrical ProbabilityPré-visualização
- Challenge: Solving the Task Using Geometric ProbabilityPré-visualização
- Independence and Incompatibility of Random EventsPré-visualização
- Conditional ProbabilityPré-visualização
- Inclusion-Exclusion PrinciplePré-visualização
- Challenge: Solving the Task Using Inclusion-Exclusion PrinciplePré-visualização
- The Multiplication Rule of ProbabilityPré-visualização
- Law of Total ProbabilityPré-visualização
- Bayes' TheoremPré-visualização
- Challenge: Solving the Task Using Bayes' TheoremPré-visualização
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My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

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Avaliações de alunos
4.8
16 avaliações
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19%
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Mostrando 3 de 16 avaliações
4
Avaliado em Mar 19, 2025
Clear explanation combined with quiz questions that were challenging but not too hard, and the questions were on-topic. Providing AI support also helped a lot.
Andrew graves
5
Avaliado em Dec 5, 2024
good python
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5
Avaliado em Nov 4, 2024
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