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Professional Course

Data Science: Probability

edX, Online
Length
8 weeks
Length
8 weeks
Visit this course's homepage on the provider's site to learn more or book!

Course description

Data Science: Probability

In this course, part of our Professional Certificate Program in Data Science,you will learn valuable concepts in probability theory. The motivation for this course is the circumstances surrounding the financial crisis of 2007-2008. Part of what caused this financial crisis was that the risk of some securities sold by financial institutions was underestimated. To begin to understand this very complicated event, we need to understand the basics of probability.

We will introduce important concepts such as random variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem. These statistical concepts are fundamental to conducting statistical tests on data and understanding whether the data you are analyzing is likely occurring due to an experimental method or to chance.

Probability theory is the mathematical foundation of statistical inference which is indispensable for analyzing data affected by chance, and thus essential for data scientists.

Who should attend?

Prerequisites

None

Course delivery details

This course is offered through Harvard University, a partner institute of EdX.

1-2 hours per week

Costs

  • Verified Track -$99
  • Audit Track - Free

Certification / Credits

What you'll learn

  • Important concepts in probability theory including random variables and independence
  • How to perform a Monte Carlo simulation
  • The meaning of expected values and standard errors and how to compute them in R
  • The importance of the Central Limit Theorem

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141 Portland Street
02139 Cambridge Massachusetts

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