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 such as MDS, MFA, t-SNE, UMAP, PCR or PLSR. A brief introduction to 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 understand the basis of the theory when doing a multivariate analysis. All topics are accompanied by 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 - 08, 2023, 9 am - 12.30 pm
Dec 14 - 15, 2023, 9 am - 12.30 pm
The course contents are coordinated so we strongly recommend to not miss out on parts of the course. To receive a certificate, we expect full time and active participation. If you have to leave/miss the course for some time, please mention this in advance.
NOTE: Registration will open November 9, 12pm.
