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Introduction to Linear Models and Matrix Algebra

Harvard University via edX

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Overview

Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory online course in data analysis, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. We perform statistical inference on these differences. Throughout the course we will use the R programming language to perform matrix operations. Given the diversity in educational background of our students we have divided the series into...

Syllabus

  • Matrix algebra notation
  • Matrix algebra operations
  • Application of matrix algebra to data analysis
  • Linear models
  • Brief introduction to the QR decomposition
Introduction to Linear Models and Matrix Algebra
Go to Class

Harvard University via edX

4 hours

$219.00 Certificate Available

English

On-Demand

Intermediate

Instructor

Rafael Irizarry

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