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Probability - The Science of Uncertainty and Data edX - online learning platform

Highlights
Tuition fee
300 USD / full
300 USD / full
Unknown
Tuition fee
300 USD / full
300 USD / full
Unknown
Duration
4 months
Duration
4 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

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.

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.

Key facts

The Probability - The Science of Uncertainty and Data certificate at Massachusetts Institute of Technology - MITx, is part of Statistics and Data Science (Methods Track) MicroMasters Program and 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

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Portland, United States

What students do after studying

Join for free or log in to access our complete career info list.

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

  • Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    300 USD / full
    300 USD / full
  • Out-of-State
    300 USD / full
    300 USD / full

Additional Details

  • Add a Verified Certificate for $300 USD
  • Limited access: free

Funding

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