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 1
In the “Multivariate Statistics 1” course you will learn when and how to apply unsupervised learning methods such as PCA for dimension reduction and k-means, hierarchical clustering or some hybrid approaches for clustering. The course also covers some rotation techniques after dimensionality reduction as well as mixture models, heatmaps, and other culstering methods (DBSCan , Louvain). 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” and basic knowledge of statistics, e.g. course “Introduction to Statistics”. Some practice in ggplot2 is also welcome (e.g. course “Graphics with R”).
More details here.
Course Days and Times
Nov, 16 - 17, 2023, 9 am - 12.30 pm
Nov, 23 - 24, 2023, 9 am - 12.30 pm
Nov, 30 - Dec 1, 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 October 19th, 12pm.
