Machine Learning in R

Traget group: PhD candidates and Postdoctoral researchers
Language: English
Duration of the program: 2 modules, 3 days each

Program Overview

The "Machine Learning in R" program consists of two consecutive modules of three workshops days each.
The basic module of the program, "Data Analysis with R", teaches you the basics of R, including a technical introduction to R syntax. You will learn the most important concepts and terms in statistics and data analysis and how to carry out first exploratory and inferential statistical analyses in R. This course is suitable for participants with no knowledge of R or to refresh the basics in R.
The advanced module, „Machine Learning in R“, covers fundamental concepts and advanced techniques in machine learning. You will learn to train and evaluate supervised learning models, explore various supervised ML algorithms and gain practical skills in interpreting complex machine learning algorithms.

If you already have extensive experience with the program R and are familiar with the contents of the basic module, it is also possible to participate only in the advanced module. You will find further information at a later date under “Registration”.

Dates
Basic module: Nov 04 and Nov 05, 2024 (both in-person) & Nov 11, 2024 (online)
Advanced module: Nov 21 and Nov 22, 2024 (both in-person) & Nov 29, 2024 (online)
 

Program content

Basic module: Data Analysis with R

This module includes three workshops and is designed for participants with no knowledge of R or for refreshing the basics of R.
Prerequisites are experience or willingness to work with text commands or programming code. Basic knowledge of data analysis and statistics, e.g. acquired through a basic lecture or self-study, is an advantage. Make sure that you have sufficient permissions on your computer to install software (R, Rstudio) and extension R packages.

Advanced module: Supervised Machine Learning in R

The module includes three workshops. Prerequisites are the successful completion of the basic module or very good R knowledge and data analysis skills in R and a general understanding of data analysis/statistics.