From calculating risk in financial markets to evaluating healthcare data or simply making better personal decisions, our world runs on probability. But how do you make accurate predictions when outcomes are uncertain?
This week’s Free Summer Friday feature moves beyond basic guesswork to give you a powerful framework for navigating uncertainty. Step into the world of quantitative thinking with Introduction to Probability. |
Master the math of randomness.
Led by Harvard faculty, this course provides a thorough grounding in probability theory: the essential foundation for data science, statistics, finance, and artificial intelligence.
You’ll learn to:
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Navigating Uncertainty: Learn how to think about uncertainty and randomness, and build a framework to make reliable predictions in everyday life and data science.
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The "Story" Approach to Random Variables: Master the story approach to understanding random variables, common probability distributions, and methods for calculating the expected value of a random quantity.
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Solving Complex Problems: Discover how to use conditional probability, Bayes' Rule, and joint distributions to break down and solve complicated real-world problems.
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How to Enroll:
Like all of our Free Summer Friday features, this course is hosted on edX and is completely free to audit.
You can also choose to upgrade to a paid verified certificate at any point during the course to officially prove mastery of the subject. From now through August 12th, you can save up to 15% by entering in code GROW2026 at checkout! |
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