# Introduction to Linear Models and Matrix Algebra

Learn to use R programming to apply linear models to analyze data in life sciences.

Add a Verified Certificate for $129

Learn to use R programming to apply linear models to analyze data in life sciences.

Image

Duration

4 weeks long

Time Commitment

2 - 4 hours per week

Pace

Self-paced

Subject

Course Language

English

English

Intermediate

Credit

Audit for Free

Add a Verified Certificate for $129

Add a Verified Certificate for $129

Platform

edX

Matrix algebra notation

Matrix algebra operations

Application of matrix algebra to data analysis

Linear models

Brief introduction to the QR decomposition

Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory data analysis course, 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.

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This class was supported in part by NIH grant R25GM114818.

Online

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.

Price

Free^{*}

Duration

8 weeks long

Registration Deadline

Available now

Online

Price

Free^{*}

Registration Deadline

Opens Oct 18

Online

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Price

Free^{*}

Duration

8 weeks long

Registration Deadline

Available now