Probability
Offered By: Codecademy
Course Description
Overview
Learn the fundamentals of probability and how to quantify and visualize uncertainty.
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.
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
- Rules of Probability: Learn about what probability is, the language we use to define it, and how we can quantify uncertainty!
- Article: Probability, Set Theory, and the Law of Large Numbers
- Lesson: Rules of Probability
- Quiz: Rules of Probability
- Probability Distributions: Learn how to describe different types of random events.
- Lesson: Introduction to Probability Distributions
- Lesson: More on Probability Distributions
- Quiz: Probability Distributions
- Project: Detecting Product Defects with Probability
- Sampling Distributions: Learn how to quantify the statistics of a randomly sampled experiment and visualize the distribution.
- Lesson: Sampling Distributions
- Quiz: Sampling Distributions
- Project: Sampling Distributions Dance Party!
Taught by
Alex DiStasi
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