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edX: Statistics and Probability in Data Science using Python

 with  Alon Orlitsky
Sponsored
Digital Marketing Certificate
Cornell University via eCornell

The job of a data scientist is to glean knowledge from complex and noisy datasets.

Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

In this course, part of the Data Science MicroMasters program, you will learn the foundations of probability and statistics. You will learn both the mathematical theory, and get a hands-on experience of applying this theory to actual data using Jupyter notebooks.

Concepts covered included: random variables, dependence, correlation, regression, PCA, entropy and MDL. 

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Cost Free Online Course
Subject Data Science
Provider edX
Language English
Hours 8-10 hours a week
Calendar 10 weeks long

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What are MOOCs?
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