Probability
Learn the fundamentals of probability and how to quantify and visualize uncertainty.
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary4 hoursCertificate of completion
Included with paid plansPrerequisites
None
About this course
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 quizzesProjects in this course
- Project
Detecting Product Defects with Probability
Determine the number of defective products made at a factory on a given day. Apply concepts from the Poisson distribution, including random variables, the probability mass function, the cumulative distribution function, and expected values. - Project
Sampling Distributions Dance Party!
Investigate sampling distributions of Spotify data!
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- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
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Frequently asked questions about Probability
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.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.