Free
Course

# Probability

Learn the fundamentals of probability and how to quantify and visualize uncertainty.

This course includes
28,456 learners enrolled
This course includes
• Skill level

Beginner
• Time to complete

Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
4 hours
• Projects

2
• Prerequisites

None

In this unit, we will cover fundamental rules of probability including how to describe random events. We will cover topics such as set theory, conditional probability, joint probability, Bayes rule, probability distributions, and sampling distributions. These concepts are important in order to understand the likelihood of events, fit machine learning models, and perform hypothesis tests.

## Syllabus

4 lessons • 2 projects • 3 quizzes

The platform

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## Probability course ratings and reviews

93 ratings
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5. 1 star
• The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
Chris
• I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
Rodrigo
• Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
John-Andrew

## Our learners work at

• Probability is a type of math that helps us determine the chances of something happening. For example: When you flip a coin, there’s a 50/50 chance of it landing on either heads or tails. That’s essentially what probability is — calculating the likelihood of a certain outcome or event.

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• ### Practice Projects

Guided projects that help you solidify the skills and concepts you're learning.