There is 0 item now in your comparison listView a comparison list

Data Science: Probability

Price
Free
173,115 people completed this program

Overview

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.

  • 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

Reviews (0)

Help others make their choice. Be the first one to leave a review

Leave a review
Data Science: Probability
Beginner
Certification
English
8 weeks
Self-paced
Online
This website uses cookies to ensure you get the best experience