sponsored by Helmholtz Information & Data Science Academy (HIDA)
in cooperation with Core Facility Statistical Consulting at Helmholtz Zentrum München - German Research Center for Environmental Health (Helmholtz Munich)
Multivariate Statistics 2
In the “Multivariate Statistics 2” course you will learn when and how to apply unsupervised and supervised dimension reduction techniques as MDS, MFA, t-SNE, UMAP, PCR or PLSR. A short introduction on PCA will be given at the beginning of the lecture (more details on PCA can be learned in the course Multivariate Statistics 1). The course will help to understand the basis of the theory when doing a multivariate analysis. All topics are accompanied with hands-on exercises using the statistical software R. The participants are invited to ask as many questions as they want about the analyses on their own dataset.
Prerequisites: Programming skills with R, e.g. course “Introduction to R”, basic knowledge of statistics, e.g. course “Introduction to Statistics” and knowledge on basic dimension reduction techniques (PCA), e.g. course “Multivariate Statistics 1”. Some practice in ggplot2 is also welcome (e.g. course “Graphics with R”).
More details here.
Course Days and Times
Dec 07, 2023, 9 am - 5 pm
Dec 08, 2023, 9 am - 5 pm
Target Group
The course is aimed at Helmholtz researchers (all career levels) and researchers from partner institutions, but we will also admit a limited number of researchers from other institutions.
NOTE: Registration will open 4 weeks before the course's starting date.
