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Multivariate Statistics

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May 11, 2024 3 minute read

Multivariate statistics is a branch of statistics that deals with data that has multiple variables. It is used to analyze the relationships between these variables and to make predictions about future outcomes.

Why Learn Multivariate Statistics?

There are many reasons to learn multivariate statistics. Some of the most common reasons include:

Path to Multivariate Statistics

Take the first step.
We've curated two courses to help you on your path to Multivariate Statistics. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Multivariate Statistics.
Classic text on principal component analysis, one of the most important topics in multivariate statistics.
Provides a comprehensive introduction to structural equation modeling, a statistical method used to test complex relationships among variables.
Classic text on generalized linear models, a family of statistical models that includes many common models, such as linear regression, logistic regression, and Poisson regression.
Comprehensive treatment of time series analysis, a branch of statistics that is used to analyze data that is collected over time.
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