Take free online classes and courses in probability to build your skills and advance your career. Learn probability and other in-demand subjects with courses from top universities and institutions around the world on edX.
Probability and Statistics II: Random Variables – Great Expectations to Bell Curves
Introductory Statistics : Sample Survey and Instruments for Statistical Inference
Introductory Statistics : Basic Ideas and Instruments for Statistical Inference
What is Probability?
Probability, or probability theory in application to mathematics, is the measurement of the possibility of a particular outcome. Mathematicians, data scientists, statisticians and others apply probability theory when analyzing data sets to make predictions or forecasts.
Online Probability Courses and Programs
Get an introduction to probability with online courses from major universities and institutions including Purdue, MIT, Microsoft and more. Edx offers both individual courses and advanced programs designed to help you learn about probability in an engaging and effective online learning environment complete with video tutorials, quizzes and more.
Additionally, students can earn verified certificates in probability and other mathematics disciplines from edX and the university offering the course, proof for teachers, employers and others of successful completion of the coursework. Get started learning about probability and statistics with one the following courses or programs.
Purdue University offers two self-paced probability courses that will introduce you to the field and prepare you for further study of statistics and data science. Probability: Basic Concepts & Discrete Random Variables is a 6-week free online course that covers basic probability formulas, concepts and rules, probability models with discrete random variables and probability models in real-world practice. The second course goes into the most frequently used probability distribution models including exponential distribution, Gamma distribution and normal probability distribution.
Introduction to Probability: Part 1 - The Fundamentals from MIT covers the basics of probability models and will explore random variables, distributions, means and variances. Part 2 of this course introduces inference methods, laws and applications of large numbers as well as random processes. Both courses are free to audit and students can pursue a certificate for a small fee.
Explore these and other free courses that cover binomial probability, conditional probability and more. Many courses are self-paced so you can enroll and start learning today.