36-640 Probability & Statistics for Data Science

6 units, Carnegie Mellon University

This course is only for students completing the Foundations of Data Science Online Graduate Certificate. Students will learn how to understand fundamental terminology and techniques so they may be correctly applied in future data analysis situations. Introducing the theoretical aspects of probability and statistical inference, topics include basic probability, random variables, univariate and bivariate probability distributions, statistics, likelihood, point and interval estimation, hypothesis testing, and the frameworks underlying linear and logistic regression and Naive Bayes. Mathematical details are supplemented with computer-based examples and exercises (e.g. visualization and simulation).

Prerequisites: none listed

Offered: Fall 2026, Spring 2026

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