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Probability
How can we accurately model the unpredictable world around us? How can we reason precisely about randomness? This course will guide you through the most important and enjoyable ideas in probability to help you cultivate a more quantitative worldview.
By the end of this course, you’ll master the fundamentals of probability and random variables, and you’ll apply them to a wide array of problems, from games and sports to economics and science.
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Intro to Probability
Think probabilistically and explore the wide-reaching applications of probability.
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Probability Rules
Get the basics down.
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Conditional Probability
Update your assumptions with the information around you.
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Probability Applications
Sports, economics, science, and more.
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Math of Poker
You aren't a true card shark unless you know your probabilities.
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Discrete Random Variables
The language of random variables: independence, distributions, and more.
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Expected Value
Know what outcome to expect when you're dealing with randomness.
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Variance
It's the mathematical way to describe how erratic your random variable is.
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Discrete Distributions
Use these models to connect the theory to the real-world.
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Continuous Random Variables
When the world gets continuous, calculus meets probability.
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Continuous Distributions
Model heights, stocks, or just about anything else with these distributions.
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Advanced Techniques
Push the frontiers of your knowledge with these probabilistic techniques.
