R: tidyverse for Data Science

R is a powerful, wide-spread and freely available language and environment for statistical computing and graphics.

This twelve-hour-course for intermediate R users focuses on the tidyverse, a collection of R packages for data science. The course is a mixture between brief presentations, demonstrations (on-screen, using R and RStudio) and supervised exercises (“learning by doing”).

Allgemeine Informationen

Dauer 12 hours
dplyr - Data management & manipulation
ggplot2 - High-level visualisations ("The grammar of graphics")
purrr - Enhanced functional programming
tidyr - Helpers to create tidy data sets
readr - Fast and friendly data import/export
tibble - Modern data frames
Basic knowledge of R, preferably attendance of the course "R: Basic Introduction". You should have an idea of the following expressions and be able to create/perform them in R: vectors, matrices, data.frames, indexing, high- and low level plotting functions for standard plots.
Students and employees of the University of Zurich. This course is particularly suitable for students at the BSc/MSc-level.
Handouts will be distributed during the course. Furthermore, the book from Wickham und Grolemund (Wickham, Hadley; Grolemund, Garrett (2017): R for data science, import, tidy, transform, visualize, and model data, Sebastopol, O'Reilly) would help learners to deepen their understanding of R for data science. It is however no prerequisite for this course.

Kursdaten

Code Referierende Daten Plätze frei Ort
FS25-ARF-01 Wunder Jan 28.02.2025 - 07.03.2025 (10:00 - 17:00 Uhr)
Online-Kurs Die Kursanmeldung beginnt am 1. Februar für das Frühjahrssemester und am 1. September für das Herbstsemester.
FS25-ARF-02 Pedraza Perez Fernando 31.03.2025 - 07.04.2025 (09:00 - 16:00 Uhr)
Universität Zürich Irchel Die Kursanmeldung beginnt am 1. Februar für das Frühjahrssemester und am 1. September für das Herbstsemester.
HS25-ARF-01 Pedraza Perez Fernando 05.09.2025 - 12.09.2025 (09:00 - 16:00 Uhr)
Universität Zürich Irchel Die Kursanmeldung beginnt am 1. Februar für das Frühjahrssemester und am 1. September für das Herbstsemester.