Fat Chance: Probability from the Ground Up

Increase your quantitative reasoning skills through a deeper understanding of probability and statistics.

Through highly visual lessons and guided practice, this course explores the quantitative reasoning behind probability and the cumulative nature of mathematics.

Featuring faculty from:
Self-Paced
Length
7 weeks
3-5 hours a week
Certificate Price
$149
Program Dates
Start Fat Chance today.

What You'll Learn

Created specifically for those who are new to the study of probability, or for those who are seeking an approachable review of core concepts prior to enrolling in a college-level statistics course, Fat Chance prioritizes the development of a mathematical mode of thought over rote memorization of terms and formulae. Through highly visual lessons and guided practice, this course explores the quantitative reasoning behind probability and the cumulative nature of mathematics by tracing probability and statistics back to a foundation in the principles of counting. 

In Modules 1 and 2, you will be introduced to basic counting skills that you will build upon throughout the course. In Module 3, you will apply those skills to simple problems in probability. In Modules 4 through 6, you will explore how those ideas and techniques can be adapted to answer a greater range of probability problems. Lastly, in Module 7, you will be introduced to statistics through the notion of expected value, variance, and the normal distribution. You will see how to use these ideas to approximate probabilities in situations where it is difficult to calculate their exact values.

The course will be delivered via edX and connect learners around the world. By the end of the course, participants will be able to:

  • An increased appreciation for, and reduced fear of, basic probability and statistics
  • How to solve combinatorial counting problems
  • How to solve problems using basic and advanced probability
  • An introductory understanding of the normal distribution and its many statistical applications
  • An ability to recognize common fallacies in probability, as well as some of the ways in which statistics are abused or simply misunderstood

Your Instructors

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Benedict Gross

Benedict Gross

Leverett Professor of Mathematics, Emeritus, Harvard University

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Joseph Harris

Joseph Harris

Higgins Professor of Mathematics, Harvard University

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Emily Riehl

Emily Riehl

Assistant Professor, Department of Mathematics, Johns Hopkins University

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Ways to take this course

When you enroll in this course, you will have the option of pursuing a Verified Certificate or Auditing the Course.

A Verified Certificate costs $149 and provides unlimited access to full course materials, activities, tests, and forums. At the end of the course, learners who earn a passing grade can receive a certificate. 

Alternatively, learners can Audit the course for free and have access to select course material, activities, tests, and forums. Please note that this track does not offer a certificate for learners who earn a passing grade.

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