Key Analysis: Principal Component Analysis

This video introduces Principal Component Analysis, or PCA, a powerful tool used for exploratory analyses with large datasets.

6 Minutes

Principal Component Analysis is a powerful tool for data exploration and dimension reduction. If you have a dataset that you’re attempting to analyze, this video will help you decide if PCA is an appropriate tool.

6 Minutes

For many scientists, PCA is a black box technique. In this lesson, we delve into the primary method underneath PCA, which is the Singular Value Decomposition.

5 Minutes

This lesson walks you through the choices that you’ll need to make to fit a PCA model in Prism.

There are a lot of output options for PCA, and in this lesson, we walk you through how to interpret the output. This includes tables of outputted information as well as useful graphics.

5 Minutes

If your data has too many columns and not enough rows to fit linear regression, PCR may be a good solution. It first fits PCA and then fits PCR on the principal components. Watch this video to learn more.

6 Minutes