Explore the fundamental concepts of probability and its applications in various fields such as business, health, and social sciences. This course emphasizes understanding and utilizing probabilistic models to solve real-world problems involving risk and uncertainty.
With a balanced approach between rigor and simplicity, this course offers a valuable learning experience through videos, exercises, and real-life examples.
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This course covers fundamental concepts of probability, including random experiments, sample spaces, conditional events, and various probability distributions. Gain a strong understanding of probability and its applications in real-world scenarios.
Explore the introductory module to understand the course's structure and expectations for success. Get familiar with the course materials and notation while preparing to delve into the world of probability.
Gain a solid understanding of basic probability concepts, including Venn diagrams, conditional probability, independence, and techniques for counting. Practice solving problems through exercises and real-life applications.
Delve into the world of discrete random variables, including their expected values, cumulative distribution functions, and major distributions such as Bernoulli, Binomial, Geometric, and Poisson. Apply your knowledge through exercises and real-life scenarios.
Explore continuous random variables, including uniform, normal, and exponential distributions. Understand the properties of these distributions, calculate probabilities, and apply your knowledge through practical exercises and real-life applications.
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