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edX Probability and Statistics in Data Science using Python

University of California, San Diego via edX

  • Overview
  1. edX
    Platform:
    edX
    Provider:
    University of California, San Diego
    Length:
    10 weeks
    Effort:
    10-12 hours/week
    Language:
    English
    Credentials:
    Paid Certificate Available
    Overview
    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.

    What You Will Learn
    • The mathematical foundations for machine learning
    • Statistics literacy: understand the meaning of statements such as “at a 99% confidence level”

    Taught by
    Alon Orlitsky

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