Probability - The Science of Uncertainty and Data, Certificate | Part time online | edX - online learning platform | United States
4 months
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About

EdX is an online learning platform trusted by over 12 million users offering the Probability - The Science of Uncertainty and Data course in collaboration with Massachusetts Institute of Technology - MITx. Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference.

Visit the official programme website for more information

Overview

The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions.

Probabilistic models use the language of mathematics. But instead of relying on the traditional "theorem-proof" format, we develop the material in an intuitive -- but still rigorous and mathematically-precise -- manner. Furthermore, while the applications are multiple and evident, we emphasize the basic concepts and methodologies that are universally applicable.

This course is part of a MicroMasters® Program

The Probability - The Science of Uncertainty and Data  certificate at Massachusetts Institute of Technology - MITx, part of the MITx MicroMasters Program in Statistics and Data Science covers all of the basic probability concepts, including:

  • multiple discrete or continuous random variables, expectations, and conditional distributions
  • laws of large numbers
  • the main tools of Bayesian inference methods
  • an introduction to random processes (Poisson processes and Markov chains)

Programme Structure

What you'll learn:

  • The basic structure and elements of probabilistic models

  • Random variables, their distributions, means, and variances

  • Probabilistic calculations

  • Inference methods

  • Laws of large numbers and their applications

  • Random processes

Key information

Duration

  • Part-time
    • 4 months
    • 10 hrs/week

Start dates & application deadlines

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Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Prerequisites:

  • College-level calculus (single-variable & multivariable). Comfort with mathematical reasoning; and familiarity with sequences, limits, infinite series, the chain rule, and ordinary or multiple integrals.

Tuition Fee

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  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 4 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 4 months.
  • Add a Verified Certificate for $300 USD
  • Limited access:free

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Probability - The Science of Uncertainty and Data
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