ADS: Fundamental techniques in data science with R

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You should be familiar with the basic principles of applied statistics (up to regression). Some familiarity with interpreting basic statistical software output (such as e.g. SAS/STATA/SPSS, JASP) is required. Some familiarity with a scripting or programming language, such as SPSS syntax, R or Python is desirable, but not necessary.

• Literature Parts from the freely available text: Dalpiaz (2022) Applied Statistics with R https://book.stat420.org/
• Literature Parts from the freely available text: Wickham. R for Data Science (2016). O’Reilly. https://r4ds.hadley.nz/
• Literature Additional literature and references are provided during the course
• Software All software used (Rstudio, R) is open source and freely available online, as is the mandatory literature.