Introduction to Correlation Analysis and Principal Components, 21st May 0800am (GMT+1/BST)
Product code: R-Corr-PCA
May 21, 2020
Virtual option available
The remote learning package consists of a live lecture delivered online by one of the Qi Statistics team, together with a workshop for you to complete in your own time (solutions and data sets provided), plus a pdf of the lecture notes and email support whilst you are completing the workshop after the course for up to 2 weeks. More than just a recorded webinar and as close to face-to-face training as it can be!
This module focuses on the statistical techniques for examining and summarising the relationships between attributes, using correlation and principal components analysis.
The course content is as follows:
- Measures of correlation
- Application to drivers of liking
- Linear measures – checking for curvature (Qi Rshiny App)
- Principal Component Analysis
- How it works
- Covariance or correlation – which to use?
- Key outputs to look at
- Interpreting the maps correctly
- Adding supplementary variables (Simple preference mapping)
Exercises with solutions and interpretation will be provided using XLSTAT Correlation Tests, Scatter plots and Principal Component Analysis.
To be able to perform the exercises you will need a full demo-version of XLSTAT (or licensed copy of XLSTAT Basic version).
Length of Session:
Approx 1.5hr + workshop (also available at 2pm GMT+1/BST – see alternative listing)
A basic understanding of statistics is assumed i.e. knowledge of statistical terminology and summary measures such as mean, variance, standard deviations.
$294.25 – $326.95 (Excluding any applicable taxes)