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Featured byMassachusetts Institute of Technology - MITx
Overview
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.
Purpose
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.
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Visit university websiteProgramme 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)
Check out the full curriculum
Visit university websiteKey information
Duration
- Part-time
- 4 months
- 10 hrs/week
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
Language
English
Delivered
Online
Disciplines
Mathematics Applied Mathematics Machine Learning View 13 other Short Courses in Applied Mathematics in United StatesExplore more key information
Visit university websiteAcademic 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:
- 6.431x or equivalent probability theory course
- College-level single and multi-variable calculus
- Vectors and matrices
Make sure you meet all requirements
Visit university websiteTuition Fee
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 4 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 4 months.
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- Limited access:free
Funding
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