Introduction to Probability

Uncertainty appears in nearly every data decision, but it is easy to talk about likelihood without a clear method behind it.

Uncertainty appears in nearly every data decision, but it is easy to talk about likelihood without a clear method behind it. In this course, Introduction to Probability, you'll gain the ability to reason about uncertainty with clarity and evidence. First, you'll explore probability terminology, sample spaces, events, outcomes, and the difference between theoretical, experimental, and subjective probability. Next, you'll discover how addition, multiplication, and complement rules help you reason about combined events. Finally, you'll learn how to use conditional probability and Bayes' Rule to support practical updates when evidence changes what you know. When you're finished with this course, you'll have the skills and knowledge of introductory probability needed to reason about uncertainty more clearly in analytics, statistics, and data science work.

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