Introduction to Probability and Statistics

MIT OpenCourseWare / MIT Open Learning Library

Type

Online course

Field

Science and research

Where

Online

When

Self-paced, start any time

Apply by

Open

Cost

Free to use; enrolling to track progress is optional

Covers combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals and linear regression. Open to: self-learners at undergraduate level. The catch: no credential or stated hours; expect calculus-based maths. Start on the course page or enrol on MIT's Open Learning Library to track progress.

Scout lists details from the organiser's own page. Check dates and eligibility there before you apply.