|Registration is open until||02.11.2023 - 23:59 o'clock|
|Start date||16.11.2023 - 15:00 o'clock|
|End date||17.11.2023 - 16:00 o'clock|
until 19.10.2023100 Euro
If you want to analyze data yourself, you need knowledge of data science concepts and methods of statistical learning on the one hand and skills in programming on the other. It is only when methodological and statistical core knowledge from data science meets practical programming skills that your own data analyses become possible. The course teaches the skills required for data analysis and, within this framework, sets the main topics in coordination with the participants. The range of topics includes working with R and R libraries (practical use of the infrastructure and programming options of R), data concepts and data management for preparing and performing data analyses (e.g. coding, recoding, subsetting, handling NAs, writing functions), for creating of graphics with R.