Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.

In this course you will learn to fit hierarchical models with random effects.

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Can we characterize intelligent behavior? Are there theoretical foundations on which Artificial Intelligence can be grounded?

In this course you'll learn how to leverage statistical techniques for working with categorical data.

In this course you'll learn how to perform inference using linear models.

In this course you'll learn techniques for performing statistical inference on numerical data.

Learn to perform linear and logistic regression with multiple explanatory variables.

Learn to perform linear and logistic regression with multiple explanatory variables.

Explore inferential statistics methods for making predictions and generalizations based on sample data.

Gain a foundational understanding of statistical concepts and their application in data analysis.