Fundamentals of Statistics, Certificate | Part time online | edX - online learning platform | United States
4 months
300 USD/full
300 USD/full
Tuition fee
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EdX is an online learning platform trusted by over 12 million users offering the Fundamentals of Statistics course in collaboration with Massachusetts Institute of Technology - MITx. Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction.

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Statistics is the science of turning data into insights and ultimately decisions. Behind recent advances in machine learning, data science and artificial intelligence are fundamental statistical principles. 

Key facts

The purpose of this class is to develop and understand these core ideas on firm mathematical grounds starting from the construction of estimators and tests, as well as an analysis of their asymptotic performance.

After developing basic tools to handle parametric models, we will explore how to answer more advanced questions, such as the following:

  • How suitable is a given model for a particular dataset?
  • How to select variables in linear regression?
  • How to model nonlinear phenomena?
  • How to visualize high-dimensional data?

Taking this Fundamentals of Statistics certificate at Massachusetts Institute of Technology - MITx will allow you to expand your statistical knowledge to not only include a list of methods, but also the mathematical principles that link them together, equipping you with the tools you need to develop new ones.

This course is part of theMITx MicroMasters Program in Statistics and Data Science. Master the skills needed to be an informed and effective practitioner of data science. You will complete this course and three others from MITx, at a similar pace and level of rigor as an on-campus course at MIT, and then take a virtually-proctored exam to earn your MicroMasters, an academic credential that will demonstrate your proficiency in data science or accelerate your path towards an MIT PhD or a Master's at other universities.

Programme Structure

What you'll learn

  • Construct estimators using method of moments and maximum likelihood, and decide how to choose between them

  • Quantify uncertainty using confidence intervals and hypothesis testing

  • Choose between different models using goodness of fit test

  • Make prediction using linear, nonlinear and generalized linear models

  • Perform dimension reduction using principal component analysis (PCA)

Key information


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

Start dates & application deadlines

You can apply for and start this programme anytime.





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


  • 6.431x or equivalent probability theory course
  • College-level single and multi-variable calculus
  • Vectors and matrices

Tuition Fee

To always see correct tuition fees
  • International

    300 USD/full
    Tuition Fee
    Based on the tuition of 300 USD for the full programme during 4 months.
  • National

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


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