Fat Chance: Probability from the Ground Up

MOOC
Language
English
Duration
6 months
Certificate
Certification paid
Course by EdX
What will you learn?
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
About the course

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.

Program
Fat Chance: Probability from the Ground Up
Increase your quantitative reasoning skills through a deeper understanding of probability and statistics.
Lecturers
Benedict Gross
Benedict Gross
Leverett Professor of Mathematics, Emeritus Harvard University
Joseph Harris
Joseph Harris
Higgins Professor of Mathematics Harvard University
Emily Riehl
Emily Riehl
Assistant Professor, Department of Mathematics Johns Hopkins University
Platform
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All the courses on this platform are free of charge. The authors are top universities and corporations that seek to maintain high quality standards. If you do not meet a deadline for assignments, you lose points. Like on other platforms, the videos in which the theory is explained are followed by practical assignments. Courses are available in English, Chinese, Spanish, French and Hindi.
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