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.

All information can be found on the TUWEL Website .

Flipped Classroom

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.

Due to the COVID infection situation, there may be changes in the holding mode.

Homeworks assignments will be submitted over TUWEL. Mini quizzes every two weeks will take place over TUWEL. Working through online modules on DataCamp