Data Science: Probability

MOOC
Data Science: Probability
Language
English
Duration
5 months
Certificate
Certification paid
Course by EdX
Data Science: Probability
What will you 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
About the course

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.

Program
Data Science: Probability
Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.
Lecturers
Rafael Irizarry
Rafael Irizarry
Professor of Biostatistics Harvard 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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