After successful completion of the course, students are able to

• outline the scheme and the structure of programing in the software environment R,
• efficiently work with bigger and more complex data sets in R, including visualization.

This lecture gives an introduction into statistical data analysis using modern computer methods with an emphasis on applied practical work. The topics include the statistical language R application of statistical models and tests using R graphical data visualization regression writing code in R development, packaging and documentation of software.

Exercises based on real data

The content will be practiced with excercices from the learning platform www.datacamp.com. For the duration of this course, every participant will receive unlimited access to learning material from this platform.

Active attendance and work on exercises in the active attendance period.

Working through online modules pn DataCamp