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Harvard University

Data Science: Probability

Harvard University via edX


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.

Taught by

Rafael Irizarry


3.5 rating, based on 2 Class Central reviews

4.3 rating at edX based on 45 ratings

Start your review of Data Science: Probability

  • Profile image for Luiz Cunha
    Luiz Cunha
    Concise and clear, but lack of theoretical depth and explanations.
    More focused on the practical use of R to do some Probabilities.
  • Anonymous
    very good *intro* to the subject.
    very clear to understand, and made me dig deeper on my own :)
    notice that this is an entry-level to the subject

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