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Introduction to Probability and Statistics (18.05)

MIT undergraduate course on probability, Bayesian inference and frequentist statistics.

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About this course

Taught by Jeremy Orloff and Jennifer French Kamrin, this course introduces probability and statistics with both Bayesian and frequentist methods. Materials include class notes, problem sets and exams.

Best for: Learners heading into data science who want a solid statistics base.

What you will be able to do

  • Count outcomes and compute probabilities
  • Work with random variables and common distributions
  • Apply Bayesian updating to data
  • Run hypothesis tests, build confidence intervals and fit linear regression

Syllabus and your progress

Tick modules off as you finish them on MIT OpenCourseWare.

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Cost and certificate

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No certificate; MIT OpenCourseWare publishes course materials without enrolment or credentials.

Before you start: Single-variable calculus

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Quick answers

Is Introduction to Probability and Statistics (18.05) really free?
Yes, the course material is free on MIT OpenCourseWare. No certificate; MIT OpenCourseWare publishes course materials without enrolment or credentials.
How long does Introduction to Probability and Statistics (18.05) take?
MIT OpenCourseWare does not publish an hour estimate. It is self-paced, so you set the pace.
Do I need experience before Introduction to Probability and Statistics (18.05)?
It helps to have: Single-variable calculus.

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Introduction to Probability and Statistics (18.05)

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