ADS: Applied data analysis and visualization

see for full information the English version (flag)

You should be familiar with the basic principles of applied statistics (up to regression). Familiarity with the high-level programming language R is highly desirable; it will be very hard to complete the course without knowledge of R. This knowledge can be obtained through the course Fundamental techniques in data science with R (course code: 201900026), also part of the minor Applied data science.

• Book Data Visualization - A practical introduction
• Book Text Mining with R - A Tidy Approach
• Book An introduction to statistical learning with applications in R
• Software All software used (Rstudio, R) is open source and freely available online, as is the mandatory literature.
• Literature R for Data Science
• Book Practical data science with R
• Literature Additional literature and references are provided during the course